This document discusses using computer vision techniques to analyze crowds and pedestrians. It presents research on estimating pedestrian speeds in natural conditions using computer vision and homography transformations. It also covers segmenting crowd flows and counting people to identify sources and sinks, with the goal of understanding pedestrian behavior. Tracking approaches discussed include the KLT tracker and GMCP tracker. The research aims to provide data for crowd simulation and modeling through computer vision analysis of crowds.
Adaptive pedestrian behaviour for the preservation of group cohesion: observa...Giuseppe Vizzari
Presentation held at the "Crowd Flow Dynamics, Modeling, and Management" workshop, in the context of the 93rd Annual Meeting of the Transportation Research Board, Washington DC - Jan. 12, 2014
Simulation of complex systems: the case of crowds (Phd course - lesson 1/7)Giuseppe Vizzari
First lesson and introduction of the PhD course on "Computational approaches to Physical and Virtual Crowd Phenomena" - titled "Simulation of complex systems: the case of crowds"
Through this project, the research team will leverage the computing resources and expertise at UT to develop a “data discovery environment” for transportation data to aid decision-making. Many efforts focus on leveraging transportation data to help travelers make decisions, but less thought has gone into a framework for using big data to help transportation agency staff and decision makers. The team will start by building the DDE for the Central Texas region, in collaboration with the local MPO, the City of Austin, and the local transit agency. Initially, the project will focus on creating more meaning from existing data sources, and as the project progresses, it will grow to include more novel data sources and methods. The data platform will be web-based and part of the research includes not only building the tool but developing appropriate protocols for access and governance.
Updates provided to the D-STOP Business Advisory Council at the 2017 Symposium and Board Meeting: https://ctr.utexas.edu/2018/04/12/d-stop-2017-symposium-archive/
An interaction with final year architecture students at RV College of Architecture, Bengaluru on the transition from B.Arch Thesis to a Masters program in Urban Management & Development at IHS, Rotterdam, The Netherlands.
Adaptive pedestrian behaviour for the preservation of group cohesion: observa...Giuseppe Vizzari
Presentation held at the "Crowd Flow Dynamics, Modeling, and Management" workshop, in the context of the 93rd Annual Meeting of the Transportation Research Board, Washington DC - Jan. 12, 2014
Simulation of complex systems: the case of crowds (Phd course - lesson 1/7)Giuseppe Vizzari
First lesson and introduction of the PhD course on "Computational approaches to Physical and Virtual Crowd Phenomena" - titled "Simulation of complex systems: the case of crowds"
Through this project, the research team will leverage the computing resources and expertise at UT to develop a “data discovery environment” for transportation data to aid decision-making. Many efforts focus on leveraging transportation data to help travelers make decisions, but less thought has gone into a framework for using big data to help transportation agency staff and decision makers. The team will start by building the DDE for the Central Texas region, in collaboration with the local MPO, the City of Austin, and the local transit agency. Initially, the project will focus on creating more meaning from existing data sources, and as the project progresses, it will grow to include more novel data sources and methods. The data platform will be web-based and part of the research includes not only building the tool but developing appropriate protocols for access and governance.
Updates provided to the D-STOP Business Advisory Council at the 2017 Symposium and Board Meeting: https://ctr.utexas.edu/2018/04/12/d-stop-2017-symposium-archive/
An interaction with final year architecture students at RV College of Architecture, Bengaluru on the transition from B.Arch Thesis to a Masters program in Urban Management & Development at IHS, Rotterdam, The Netherlands.
How do we prepare for the next 40 years? Do we need to worry about this now? What do we know about the timeline? We will explore what we know now and what we need to consider going forward. Presented at the 2017 D-STOP Symposium.
O Centro de Excelência em BRT Across Latitudes and Cultures (ALC-BRT CoE) promoveu o Bus Rapid Transit (BRT) Workshop: Experiences and Challenges (Workshop BRT: Experiências e Desafios) dia 12/07/2013, no Rio de Janeiro. O curso foi organizado pela EMBARQ Brasil, com patrocínio da Fetranspor e da VREF (Volvo Research and Education Foundations).
The proliferation of new sources of data opens up the possibility for designers to develop new approaches towards the creation of interactive artifacts. While design practice has been driven by a user-centered paradigm, which aims at providing people with solutions to their everyday issues, it now examines data as a new material that can be extracted, manipulated and visualized to better inform users about the world. In this presentation, Pierrick Thébault will draw upon his past research and projects to highlight the differences between data-centric, application-centric and artifact-centric approaches and to discuss the challenges and opportunities of designing with data.
Title: New Tools for Estimating Walking and Bicycling Demand
Track: Sustain
Format: 90 minute panel
Abstract: Walking and bicycling demand estimates can make a stronger case for investing in new facilities and are necessary inputs to important planning tasks. This session presents state-of-the-art tools to predict walking and bicycling demand at varying geographic scales. Tools include: 1) a framework to incorporate walking into regional travel demand models; 2) a method to estimate bicycle and pedestrian traffic based on count data; 3) new mode choice models; and 4) a web-based repository of non-motorized demand analysis tools.
Presenters:
Presenter: Patrick Singleton Portland State University
Co-Presenter: J. Richard (Rich) Kuzmyak Renaissance Planning Group
Co-Presenter: Greg Lindsey University of Minnesota, Humphrey School
Co-Presenter: Jeremy Raw Federal Highway Administration
Recently, the demand for surveillance system is increasing in real time application to enhance the security system. These surveillance systems are mainly used in crowded places such as shopping malls, sports stadium etc. In order to support enhance the security system, crowd behavior analysis has been proven a significant technique which is used for crowd monitoring, visual surveillance etc. For crowd behavior analysis, motion analysis is a crucial task which can be achieved with the help of trajectories and tracking of objects. Various approaches have been proposed for crowd behavior analysis which has limitation for densely crowded scenarios, a new object entering the scene etc. In this work, we propose a new approach for abnormal crowd behavior detection. Proposed approach is a motion based spatio-temporal feature analysis technique which is capable of obtaining trajectories of each detected object. We also present a technique to carry out the evaluation of individual object and group of objects by considering relational descriptors based on their environmental context. Finally, a classification is carried out for detection of abnormal or normal crowd behavior by following patch based process. In the results, we have reported that proposed model is able to achieve better performance when compared to existing techniques in terms of classification accuracy, true positive rate, and false positive rate.
APPLICABILITY OF CROWD SOURCING TO DETERMINE THE BEST TRANSPORTATION METHOD B...IJDKP
Traffic is one of the most significant problem in Sri Lanka. Valuable time can be saved if there is a proper way to predict the traffic and recommend the best route considering the time factor and the people’s satisfaction on various transportation methods. Therefore, in this research using location awareness applications installed in mobile devices, data related to user mobility were collected by using crowdsourcing techniques and studied. Based on these observations an algorithm has been developed to overcome the problem. By using this, the best transportation method can be predicted as the results of the research. Therefore, people can choose what will be the best time slots & transportation methods when planning journeys. Throughout this research it has been proven that for the Sri Lankan context, the data mining concepts together with crowdsourcing can be applied to determine the best transportation method.
APPLICABILITY OF CROWD SOURCING TO DETERMINE THE BEST TRANSPORTATION METHOD B...IJDKP
Traffic is one of the most significant problem in Sri Lanka. Valuable time can be saved if there is a proper
way to predict the traffic and recommend the best route considering the time factor and the people’s
satisfaction on various transportation methods. Therefore, in this research using location awareness
applications installed in mobile devices, data related to user mobility were collected by using
crowdsourcing techniques and studied. Based on these observations an algorithm has been developed to
overcome the problem. By using this, the best transportation method can be predicted as the results of the
research. Therefore, people can choose what will be the best time slots & transportation methods when
planning journeys. Throughout this research it has been proven that for the Sri Lankan context, the data mining concepts together with crowdsourcing can be applied to determine the best transportation method.
TRAFFIC MANAGEMENT THROUGH SATELLITE IMAGING -- Part 1NanubalaDhruvan
In part 1 it is discussed about the introduction of traffic management and various methods and literature reviews of various papers and their specifications and finally the research gap
A major challenge for the next decade is to design virtual and augmented reality systems (VR at large) for real-world use cases such as healthcare, entertainment, e-education, and high-risk missions. This requires VR systems to operate at scale, in a personalized manner, remaining bandwidth-tolerant whilst meeting quality and latency criteria. One key challenge to reach this goal is to fully understand and anticipate user behaviours in these mixed reality settings.
This can be accomplished only by a fundamental revolution of the network and VR systems that have to put the interactive user at the heart of the system rather than at the end of the chain. With this goal in mind, in this talk, we describe our current researches on user-centric systems. First, we describe our view-port based streaming strategies for 360-degree video. Then, we present more in details our research on of users‘ behaviour analysis, when users interact with the 360-degree content. Specifically, we describe a set of metrics that allows us to identify key behaviours among users and quantify the level of similarity of these behaviours. Specifically, we present our clique-based clustering methodology, information theory and trajectory base in-depth analysis. Finally, we conclude with an overview of the extension of this work to navigation within volumetric video sequences.
Title: Taking Pedestrian and Bicycle Counting Programs to the Next Level
Track: Connect
Format: 90 minute panel
Abstract: Panelists will provide practical guidance for pedestrian and bicycle counting programs based on findings from NCHRP Project 07-19, "Methods and Technologies for Collecting Pedestrian and Bicycle Volume Data."
Presenters:
Presenter: Robert Schneider University of Wisconsin-Milwaukee
Co-Presenter: RJ Eldridge Toole Design Group, LLC
Co-Presenter: Conor Semler Kittelson & Associates, Inc.
How do we prepare for the next 40 years? Do we need to worry about this now? What do we know about the timeline? We will explore what we know now and what we need to consider going forward. Presented at the 2017 D-STOP Symposium.
O Centro de Excelência em BRT Across Latitudes and Cultures (ALC-BRT CoE) promoveu o Bus Rapid Transit (BRT) Workshop: Experiences and Challenges (Workshop BRT: Experiências e Desafios) dia 12/07/2013, no Rio de Janeiro. O curso foi organizado pela EMBARQ Brasil, com patrocínio da Fetranspor e da VREF (Volvo Research and Education Foundations).
The proliferation of new sources of data opens up the possibility for designers to develop new approaches towards the creation of interactive artifacts. While design practice has been driven by a user-centered paradigm, which aims at providing people with solutions to their everyday issues, it now examines data as a new material that can be extracted, manipulated and visualized to better inform users about the world. In this presentation, Pierrick Thébault will draw upon his past research and projects to highlight the differences between data-centric, application-centric and artifact-centric approaches and to discuss the challenges and opportunities of designing with data.
Title: New Tools for Estimating Walking and Bicycling Demand
Track: Sustain
Format: 90 minute panel
Abstract: Walking and bicycling demand estimates can make a stronger case for investing in new facilities and are necessary inputs to important planning tasks. This session presents state-of-the-art tools to predict walking and bicycling demand at varying geographic scales. Tools include: 1) a framework to incorporate walking into regional travel demand models; 2) a method to estimate bicycle and pedestrian traffic based on count data; 3) new mode choice models; and 4) a web-based repository of non-motorized demand analysis tools.
Presenters:
Presenter: Patrick Singleton Portland State University
Co-Presenter: J. Richard (Rich) Kuzmyak Renaissance Planning Group
Co-Presenter: Greg Lindsey University of Minnesota, Humphrey School
Co-Presenter: Jeremy Raw Federal Highway Administration
Recently, the demand for surveillance system is increasing in real time application to enhance the security system. These surveillance systems are mainly used in crowded places such as shopping malls, sports stadium etc. In order to support enhance the security system, crowd behavior analysis has been proven a significant technique which is used for crowd monitoring, visual surveillance etc. For crowd behavior analysis, motion analysis is a crucial task which can be achieved with the help of trajectories and tracking of objects. Various approaches have been proposed for crowd behavior analysis which has limitation for densely crowded scenarios, a new object entering the scene etc. In this work, we propose a new approach for abnormal crowd behavior detection. Proposed approach is a motion based spatio-temporal feature analysis technique which is capable of obtaining trajectories of each detected object. We also present a technique to carry out the evaluation of individual object and group of objects by considering relational descriptors based on their environmental context. Finally, a classification is carried out for detection of abnormal or normal crowd behavior by following patch based process. In the results, we have reported that proposed model is able to achieve better performance when compared to existing techniques in terms of classification accuracy, true positive rate, and false positive rate.
APPLICABILITY OF CROWD SOURCING TO DETERMINE THE BEST TRANSPORTATION METHOD B...IJDKP
Traffic is one of the most significant problem in Sri Lanka. Valuable time can be saved if there is a proper way to predict the traffic and recommend the best route considering the time factor and the people’s satisfaction on various transportation methods. Therefore, in this research using location awareness applications installed in mobile devices, data related to user mobility were collected by using crowdsourcing techniques and studied. Based on these observations an algorithm has been developed to overcome the problem. By using this, the best transportation method can be predicted as the results of the research. Therefore, people can choose what will be the best time slots & transportation methods when planning journeys. Throughout this research it has been proven that for the Sri Lankan context, the data mining concepts together with crowdsourcing can be applied to determine the best transportation method.
APPLICABILITY OF CROWD SOURCING TO DETERMINE THE BEST TRANSPORTATION METHOD B...IJDKP
Traffic is one of the most significant problem in Sri Lanka. Valuable time can be saved if there is a proper
way to predict the traffic and recommend the best route considering the time factor and the people’s
satisfaction on various transportation methods. Therefore, in this research using location awareness
applications installed in mobile devices, data related to user mobility were collected by using
crowdsourcing techniques and studied. Based on these observations an algorithm has been developed to
overcome the problem. By using this, the best transportation method can be predicted as the results of the
research. Therefore, people can choose what will be the best time slots & transportation methods when
planning journeys. Throughout this research it has been proven that for the Sri Lankan context, the data mining concepts together with crowdsourcing can be applied to determine the best transportation method.
TRAFFIC MANAGEMENT THROUGH SATELLITE IMAGING -- Part 1NanubalaDhruvan
In part 1 it is discussed about the introduction of traffic management and various methods and literature reviews of various papers and their specifications and finally the research gap
A major challenge for the next decade is to design virtual and augmented reality systems (VR at large) for real-world use cases such as healthcare, entertainment, e-education, and high-risk missions. This requires VR systems to operate at scale, in a personalized manner, remaining bandwidth-tolerant whilst meeting quality and latency criteria. One key challenge to reach this goal is to fully understand and anticipate user behaviours in these mixed reality settings.
This can be accomplished only by a fundamental revolution of the network and VR systems that have to put the interactive user at the heart of the system rather than at the end of the chain. With this goal in mind, in this talk, we describe our current researches on user-centric systems. First, we describe our view-port based streaming strategies for 360-degree video. Then, we present more in details our research on of users‘ behaviour analysis, when users interact with the 360-degree content. Specifically, we describe a set of metrics that allows us to identify key behaviours among users and quantify the level of similarity of these behaviours. Specifically, we present our clique-based clustering methodology, information theory and trajectory base in-depth analysis. Finally, we conclude with an overview of the extension of this work to navigation within volumetric video sequences.
Title: Taking Pedestrian and Bicycle Counting Programs to the Next Level
Track: Connect
Format: 90 minute panel
Abstract: Panelists will provide practical guidance for pedestrian and bicycle counting programs based on findings from NCHRP Project 07-19, "Methods and Technologies for Collecting Pedestrian and Bicycle Volume Data."
Presenters:
Presenter: Robert Schneider University of Wisconsin-Milwaukee
Co-Presenter: RJ Eldridge Toole Design Group, LLC
Co-Presenter: Conor Semler Kittelson & Associates, Inc.
Richard's entangled aventures in wonderlandRichard Gill
Since the loophole-free Bell experiments of 2020 and the Nobel prizes in physics of 2022, critics of Bell's work have retreated to the fortress of super-determinism. Now, super-determinism is a derogatory word - it just means "determinism". Palmer, Hance and Hossenfelder argue that quantum mechanics and determinism are not incompatible, using a sophisticated mathematical construction based on a subtle thinning of allowed states and measurements in quantum mechanics, such that what is left appears to make Bell's argument fail, without altering the empirical predictions of quantum mechanics. I think however that it is a smoke screen, and the slogan "lost in math" comes to my mind. I will discuss some other recent disproofs of Bell's theorem using the language of causality based on causal graphs. Causal thinking is also central to law and justice. I will mention surprising connections to my work on serial killer nurse cases, in particular the Dutch case of Lucia de Berk and the current UK case of Lucy Letby.
Professional air quality monitoring systems provide immediate, on-site data for analysis, compliance, and decision-making.
Monitor common gases, weather parameters, particulates.
(May 29th, 2024) Advancements in Intravital Microscopy- Insights for Preclini...Scintica Instrumentation
Intravital microscopy (IVM) is a powerful tool utilized to study cellular behavior over time and space in vivo. Much of our understanding of cell biology has been accomplished using various in vitro and ex vivo methods; however, these studies do not necessarily reflect the natural dynamics of biological processes. Unlike traditional cell culture or fixed tissue imaging, IVM allows for the ultra-fast high-resolution imaging of cellular processes over time and space and were studied in its natural environment. Real-time visualization of biological processes in the context of an intact organism helps maintain physiological relevance and provide insights into the progression of disease, response to treatments or developmental processes.
In this webinar we give an overview of advanced applications of the IVM system in preclinical research. IVIM technology is a provider of all-in-one intravital microscopy systems and solutions optimized for in vivo imaging of live animal models at sub-micron resolution. The system’s unique features and user-friendly software enables researchers to probe fast dynamic biological processes such as immune cell tracking, cell-cell interaction as well as vascularization and tumor metastasis with exceptional detail. This webinar will also give an overview of IVM being utilized in drug development, offering a view into the intricate interaction between drugs/nanoparticles and tissues in vivo and allows for the evaluation of therapeutic intervention in a variety of tissues and organs. This interdisciplinary collaboration continues to drive the advancements of novel therapeutic strategies.
Nutraceutical market, scope and growth: Herbal drug technologyLokesh Patil
As consumer awareness of health and wellness rises, the nutraceutical market—which includes goods like functional meals, drinks, and dietary supplements that provide health advantages beyond basic nutrition—is growing significantly. As healthcare expenses rise, the population ages, and people want natural and preventative health solutions more and more, this industry is increasing quickly. Further driving market expansion are product formulation innovations and the use of cutting-edge technology for customized nutrition. With its worldwide reach, the nutraceutical industry is expected to keep growing and provide significant chances for research and investment in a number of categories, including vitamins, minerals, probiotics, and herbal supplements.
THE IMPORTANCE OF MARTIAN ATMOSPHERE SAMPLE RETURN.Sérgio Sacani
The return of a sample of near-surface atmosphere from Mars would facilitate answers to several first-order science questions surrounding the formation and evolution of the planet. One of the important aspects of terrestrial planet formation in general is the role that primary atmospheres played in influencing the chemistry and structure of the planets and their antecedents. Studies of the martian atmosphere can be used to investigate the role of a primary atmosphere in its history. Atmosphere samples would also inform our understanding of the near-surface chemistry of the planet, and ultimately the prospects for life. High-precision isotopic analyses of constituent gases are needed to address these questions, requiring that the analyses are made on returned samples rather than in situ.
Observation of Io’s Resurfacing via Plume Deposition Using Ground-based Adapt...Sérgio Sacani
Since volcanic activity was first discovered on Io from Voyager images in 1979, changes
on Io’s surface have been monitored from both spacecraft and ground-based telescopes.
Here, we present the highest spatial resolution images of Io ever obtained from a groundbased telescope. These images, acquired by the SHARK-VIS instrument on the Large
Binocular Telescope, show evidence of a major resurfacing event on Io’s trailing hemisphere. When compared to the most recent spacecraft images, the SHARK-VIS images
show that a plume deposit from a powerful eruption at Pillan Patera has covered part
of the long-lived Pele plume deposit. Although this type of resurfacing event may be common on Io, few have been detected due to the rarity of spacecraft visits and the previously low spatial resolution available from Earth-based telescopes. The SHARK-VIS instrument ushers in a new era of high resolution imaging of Io’s surface using adaptive
optics at visible wavelengths.
Cancer cell metabolism: special Reference to Lactate PathwayAADYARAJPANDEY1
Normal Cell Metabolism:
Cellular respiration describes the series of steps that cells use to break down sugar and other chemicals to get the energy we need to function.
Energy is stored in the bonds of glucose and when glucose is broken down, much of that energy is released.
Cell utilize energy in the form of ATP.
The first step of respiration is called glycolysis. In a series of steps, glycolysis breaks glucose into two smaller molecules - a chemical called pyruvate. A small amount of ATP is formed during this process.
Most healthy cells continue the breakdown in a second process, called the Kreb's cycle. The Kreb's cycle allows cells to “burn” the pyruvates made in glycolysis to get more ATP.
The last step in the breakdown of glucose is called oxidative phosphorylation (Ox-Phos).
It takes place in specialized cell structures called mitochondria. This process produces a large amount of ATP. Importantly, cells need oxygen to complete oxidative phosphorylation.
If a cell completes only glycolysis, only 2 molecules of ATP are made per glucose. However, if the cell completes the entire respiration process (glycolysis - Kreb's - oxidative phosphorylation), about 36 molecules of ATP are created, giving it much more energy to use.
IN CANCER CELL:
Unlike healthy cells that "burn" the entire molecule of sugar to capture a large amount of energy as ATP, cancer cells are wasteful.
Cancer cells only partially break down sugar molecules. They overuse the first step of respiration, glycolysis. They frequently do not complete the second step, oxidative phosphorylation.
This results in only 2 molecules of ATP per each glucose molecule instead of the 36 or so ATPs healthy cells gain. As a result, cancer cells need to use a lot more sugar molecules to get enough energy to survive.
Unlike healthy cells that "burn" the entire molecule of sugar to capture a large amount of energy as ATP, cancer cells are wasteful.
Cancer cells only partially break down sugar molecules. They overuse the first step of respiration, glycolysis. They frequently do not complete the second step, oxidative phosphorylation.
This results in only 2 molecules of ATP per each glucose molecule instead of the 36 or so ATPs healthy cells gain. As a result, cancer cells need to use a lot more sugar molecules to get enough energy to survive.
introduction to WARBERG PHENOMENA:
WARBURG EFFECT Usually, cancer cells are highly glycolytic (glucose addiction) and take up more glucose than do normal cells from outside.
Otto Heinrich Warburg (; 8 October 1883 – 1 August 1970) In 1931 was awarded the Nobel Prize in Physiology for his "discovery of the nature and mode of action of the respiratory enzyme.
WARNBURG EFFECT : cancer cells under aerobic (well-oxygenated) conditions to metabolize glucose to lactate (aerobic glycolysis) is known as the Warburg effect. Warburg made the observation that tumor slices consume glucose and secrete lactate at a higher rate than normal tissues.
Analysing pedestrian dynamics with computer vision techniques - examples
1. Estimating Speeds of Pedestrians in Real-World
Using Computer Vision
Sultan Daud Khan, Fabio Porta, Giuseppe Vizzari and Stefania
Bandini
Complex Systems and Artificial Intelligence Research Center (CSAI)
University of Milano-Bicocca, Italy
2. C&CA @ ACRI 2014 – Sept. 22, 2014
Outline
• Crowd studies: towards integrated analysis and synthesis
• Computer vision and crowd studies
• Velocity estimation in naturalistic conditions
• Crowd flow segmentation and counting
• Identification of sources and sinks, towards pedestrian behaviour
understanding
3. C&CA @ ACRI 2014 – Sept. 22, 2014
Outline
• Crowd studies: towards integrated analysis and synthesis
• Computer vision and crowd studies
• Velocity estimation in naturalistic conditions
• Crowd flow segmentation and counting
• Identification of sources and sinks, towards pedestrian behaviour
understanding
4. C&CA @ ACRI 2014 – Sept. 22, 2014
Motivations of crowd studies
• Large events involving large number of people in relatively small spaces are
periodically held all around the world (sports, expositions, festivals, etc.)
• Public safety in high density crowds is potentially a big issue
• Decision support for designers and crowd managers, both in planning and
management phases, is highly desirable
5. C&CA @ ACRI 2014 – Sept. 22, 2014
Towards integrated analysis and synthesis of
crowd phenomena
6. C&CA @ ACRI 2014 – Sept. 22, 2014
Outline
• Crowd studies: towards integrated analysis and synthesis
• Computer vision and crowd studies
• Velocity estimation in naturalistic conditions
• Crowd flow segmentation and counting
• Identification of sources and sinks, towards pedestrian behaviour
understanding
7. C&CA @ ACRI 2014 – Sept. 22, 2014
Computer vision and crowd studies
• Relevant factors influencing choice of
techniques
• Crowd “types”
• Structured (motion constrained by
environmental structure, crowd management
procedures, other rules)
• Unstructured (little constraints to pedestrian
movements)
• Crowd density
• Initially driven by surveillance and
security (anomalous movements
detection)
• Recent interest in collaborating with
modeling and simulation community
• 1st IEEE Workshop on Modeling, Simulation
and Visual Analysis of Large Crowds – ICCV
2011
• First International Workshop on Pattern
Recognition and Crowd Analysis – ICPR
2012
Junior, Musse, Jung, Crowd Analysis Using Computer
Vision Techniques IEEE Signal Processing Magazine,
2010
8. C&CA @ ACRI 2014 – Sept. 22, 2014
Current activities and results
• Low-medium density
situations
• Velocity estimation in
naturalistic conditions
• High density situations
• Crowd flow segmentation and
counting
• Identification of sources and
sinks, towards pedestrian
behaviour understanding
9. C&CA @ ACRI 2014 – Sept. 22, 2014
Outline
• Crowd studies: towards integrated analysis and synthesis
• Computer vision and crowd studies
• Velocity estimation in naturalistic conditions
• Crowd flow segmentation and counting
• Identification of sources and sinks, towards pedestrian behaviour
understanding
10. C&CA @ ACRI 2014 – Sept. 22, 2014
Initial tracking approach
• Frame enhancement and
foreground segmentation
• Tracking with KLT after corner
detection
11. C&CA @ ACRI 2014 – Sept. 22, 2014
Velocity estimation in side view scenarios
• Pixel to metric coordinates
conversion approach based on the
idea of scaling factors
• Only applicable to limited kind of
scenario
• Requires coordinates of two points
per considered path
12. C&CA @ ACRI 2014 – Sept. 22, 2014
Velocity estimation through homography
• Alternative and more applicable
(not limited to analysis of linear
paths) approach to conversion
between pixel and metric
coordinates
• Requires coordinates of four
points in the analyzed scene
13. C&CA @ ACRI 2014 – Sept. 22, 2014
Tracking with the GMPC approach4 Amir Roshan Zamir, Afshin Dehghan, Mubarak Shah
Human
Detection
GMCP
Tracklet
Generator
GMCP
Trajectory
Generator
Detected HumansInput Video Tracklets Trajectories
Fig. 2. The block diagram of the proposed human tracking method
term. In principle, it’s difficult to model the motion of one person for a long du-
ration without having the knowledge of the destination, structure of the scene,
interactions between people, etc. However, the motion can be modeled suffi-
ciently using constant velocity or acceleration models over a short period of
time. Therefore, the way motion is incorporated into the global data association
process should be di↵erent in short and long terms. This motivated us to employ
the hierarchical approach, i.e. finding tracklets first and then merging them into
full trajectories.
The rest of this section is organized as follows: 2.1 explains the proposed
method for finding tracklets along with an overview of Generalized Minimum
Clique Problem, our global motion-cost model and occlusion handling method.
Merging the tracklets to form global trajectories is explained in 2.2.
Zamir, Dehghan, Shah: GMCP-
Tracker: Global Multi-object
Tracking Using Generalized
Minimum Clique Graphs. ECCV
(2) 2012: 343-356
14. C&CA @ ACRI 2014 – Sept. 22, 2014
Outline
• Crowd studies: towards integrated analysis and synthesis
• Computer vision and crowd studies
• Velocity estimation in naturalistic conditions
• Crowd flow segmentation and counting
• Identification of sources and sinks, towards pedestrian behaviour
understanding
19. C&CA @ ACRI 2014 – Sept. 22, 2014
Conclusions
• Modeling and simulation studies
need different types of data for
calibration, validation, but also for
the initial configuration of
plausible simulations
• Computer vision approaches can
offer several solutions to these
requirements and needs
• The jargons, goals, perception of
research challenges is not
necessarily shared...
• ... working together, possibly in
joint projects, can surely improve
the situation and achieved results