1. The document describes a real-time detector for unusual behavior that uses motion and shape-based analysis to detect statistically relevant unusual events in video and alert users.
2. It outlines the contributions and responsibilities of different partners - ACV focuses on motion detection and tracking, Bilkent on human detection and action recognition, UPC on foreground detection and body modeling, and SZTAKI on unusual event detection and the software platform.
3. The system will integrate computer vision techniques like foreground detection, tracking, human detection, action recognition and motion-based unusual event detection to process video streams and detect anomalous behaviors in real-time.
AR Foundation framework: product roadmap – Unite Copenhagen 2019Unity Technologies
Learn about the latest developments in AR Foundation, the Unity framework purpose-built for augmented reality (AR) development that lets you build your app once and deploy across mobile and wearable AR platforms. In this session you'll also hear about the roadmap for AR Foundation and what's in the works.
Speakers:
Mike Durand – Unity
Matt Fuad – Unity
Watch the session on YouTube: https://youtu.be/UkBXOff8Efo
AR Foundation framework: product roadmap – Unite Copenhagen 2019Unity Technologies
Learn about the latest developments in AR Foundation, the Unity framework purpose-built for augmented reality (AR) development that lets you build your app once and deploy across mobile and wearable AR platforms. In this session you'll also hear about the roadmap for AR Foundation and what's in the works.
Speakers:
Mike Durand – Unity
Matt Fuad – Unity
Watch the session on YouTube: https://youtu.be/UkBXOff8Efo
This was a workshop I gave at http://csforum.eu in 2011.
DESIGNING NARRATIVE CONTENT
---------------------------------------
How can you be sure your content reaches the largest audience possible? By designing content for all contexts, that will reach your audience via any device, any phone, any laptop, anywhere.
This workshop will discuss how to create a content strategy for narrative content. We'll explore how to tailor your content, as well as your editorial workflows, for different devices and audiences. We'll use Treesaver, an open-source content layout framework to illustrate narrative content principles.
Publishing usually comes at the end of your content strategy, but by orchestrating your process for narrative content, you can ensure your stories, news, product descriptions, and more will be tailored for your audience wherever they are.
What you’ll learn
How to optimise workflow, production, and deployment for narrative content.
How to use the technology behind narrative content.
How to customise content for different contexts.
From Cowboy To Astronaut: Lessons From The Trail, New Worlds On The HorizonJeremy Fuksa
This is the version of "From Cowboy To Astronaut" that I presented to the Oklahoma City Ad Club as part of their Career Day for 2008. As you can see from previous versions of this presentation, the format has changed dramatically as a result of feedback and ideas generated over the past year.
Video excerpt of this presentation at http://www.vimeo.com/2706705
This is a slidedeck from my presentation at WordCamp Portland 2008. I used it to share what my need for an ecosystem is, why I'm using WordPress, and some info about ecosystems I'm working on.
Migrer vers PMB: retour d\'expérience d\'une migration depuis SocratePMB-BUG
PMB-BUG, Leuven, 2008-10-02
Cécile Gass (FR)
Migrer vers PMB: retour d\'expérience d\'une migration depuis Socrate
Migreren van een andere software naar PMB: Ervaringen met de migratie van Socrate
I did this deck as a quick overview on how to create a Pecha Kucha deck for an upcoming event the Art+Copy Club of Kansas City is holding on April 23rd.
While a couple of slides are specific to the event, I thought these pointers might be helpful to anyone who is thinking about attempting Pecha Kucha themselves.
10 enterprise social software thought leaders boiled down into tag clouds using IBM's Many Eyes. Slides are by Sam Lawrence - http://www.gobigalways.com/
Keep Cloud Transformation on Track: Nine Best Practices to Avoid or Break Thr...Amazon Web Services
Intended for customers who have (or will have) thousands of instances on AWS, this session is about reducing the complexity of managing costs for these large fleets so they run efficiently. Attendees will learn about common roadblocks that prevent large customers from cost optimizing, tools they can use to efficiently remove those roadblocks, and techniques to monitor their rate of cost optimization. The session will include a case study that will talk in detail about the millions of dollars saved using these techniques. Customers will learn about a range of templates they can use to quickly implement these techniques, and also partners who can help them implement these templates.
GoodVision Video Insights Presentation 2018Daniel ?tofan
GoodVision Video Insights is a SaaS, which incorporates deep learning and cloud-computing for rapid extraction of events from unstructured camera recordings in a way a human would do it, for a fraction of the time that a human would need. It provides reusable source of reliable analytic data for analytical and statistical insights of video events for decision making and a visual analytic tool to get the actionable information out of it.
This was a workshop I gave at http://csforum.eu in 2011.
DESIGNING NARRATIVE CONTENT
---------------------------------------
How can you be sure your content reaches the largest audience possible? By designing content for all contexts, that will reach your audience via any device, any phone, any laptop, anywhere.
This workshop will discuss how to create a content strategy for narrative content. We'll explore how to tailor your content, as well as your editorial workflows, for different devices and audiences. We'll use Treesaver, an open-source content layout framework to illustrate narrative content principles.
Publishing usually comes at the end of your content strategy, but by orchestrating your process for narrative content, you can ensure your stories, news, product descriptions, and more will be tailored for your audience wherever they are.
What you’ll learn
How to optimise workflow, production, and deployment for narrative content.
How to use the technology behind narrative content.
How to customise content for different contexts.
From Cowboy To Astronaut: Lessons From The Trail, New Worlds On The HorizonJeremy Fuksa
This is the version of "From Cowboy To Astronaut" that I presented to the Oklahoma City Ad Club as part of their Career Day for 2008. As you can see from previous versions of this presentation, the format has changed dramatically as a result of feedback and ideas generated over the past year.
Video excerpt of this presentation at http://www.vimeo.com/2706705
This is a slidedeck from my presentation at WordCamp Portland 2008. I used it to share what my need for an ecosystem is, why I'm using WordPress, and some info about ecosystems I'm working on.
Migrer vers PMB: retour d\'expérience d\'une migration depuis SocratePMB-BUG
PMB-BUG, Leuven, 2008-10-02
Cécile Gass (FR)
Migrer vers PMB: retour d\'expérience d\'une migration depuis Socrate
Migreren van een andere software naar PMB: Ervaringen met de migratie van Socrate
I did this deck as a quick overview on how to create a Pecha Kucha deck for an upcoming event the Art+Copy Club of Kansas City is holding on April 23rd.
While a couple of slides are specific to the event, I thought these pointers might be helpful to anyone who is thinking about attempting Pecha Kucha themselves.
10 enterprise social software thought leaders boiled down into tag clouds using IBM's Many Eyes. Slides are by Sam Lawrence - http://www.gobigalways.com/
Keep Cloud Transformation on Track: Nine Best Practices to Avoid or Break Thr...Amazon Web Services
Intended for customers who have (or will have) thousands of instances on AWS, this session is about reducing the complexity of managing costs for these large fleets so they run efficiently. Attendees will learn about common roadblocks that prevent large customers from cost optimizing, tools they can use to efficiently remove those roadblocks, and techniques to monitor their rate of cost optimization. The session will include a case study that will talk in detail about the millions of dollars saved using these techniques. Customers will learn about a range of templates they can use to quickly implement these techniques, and also partners who can help them implement these templates.
GoodVision Video Insights Presentation 2018Daniel ?tofan
GoodVision Video Insights is a SaaS, which incorporates deep learning and cloud-computing for rapid extraction of events from unstructured camera recordings in a way a human would do it, for a fraction of the time that a human would need. It provides reusable source of reliable analytic data for analytical and statistical insights of video events for decision making and a visual analytic tool to get the actionable information out of it.
Robust and Efficient Coupling of Perception to Actuation with Metric and Non-...Darius Burschka
The talk motivates a re-thinking of the way, how perception passes the information to the control modules. Metric information is not a native space of the camera and apparently also not used in biology for navigation. Early abstraction of information from images loses a lot of important information that can be directly used for following (Visual-Servoing), motion estimation(Motion Blurr), and collision relations(Optical Flow Clustering). I present in this talk ways, how we use the image information in "classical way" that does not require any learning and runs on low-power CPUs.
For the full video of this presentation, please visit:
http://www.embedded-vision.com/platinum-members/qualcomm/embedded-vision-training/videos/pages/may-2016-embedded-vision-summit-mangen
For more information about embedded vision, please visit:
http://www.embedded-vision.com
Michael Mangen, Product Manager for Camera and Computer Vision at Qualcomm, presents the "High-resolution 3D Reconstruction on a Mobile Processor" tutorial at the May 2016 Embedded Vision Summit.
Computer vision has come a long way. Use cases that were previously not possible in mass-market devices are now more accessible thanks to advances in depth sensors and mobile processors. In this presentation, Mangen provides an overview of how we are able to implement high-resolution 3D reconstruction – a capability typically requiring cloud/server processing – on a mobile processor. This is an exciting example of how new sensor technology and advanced mobile processors are bringing computer vision capabilities to broader markets.
SENSITIVITY OF A VIDEO SURVEILLANCE SYSTEM BASED ON MOTION DETECTIONsipij
The implementation of a stand-alone system developed in JAVA language for motion detection has been discussed. The open-source OpenCV library has been adopted for video surveillance image processing thus implementing Background Subtraction algorithm also known as foreground detection algorithm. Generally the region of interest of a body or object to detect is related to a precise objects (people, cars, etc.) emphasized on a background. This technique is widely used for tracking a moving objects. In particular, the BackgroundSubtractorMOG2 algorithm of OpenCV has been applied. This algorithm is based on Gaussian distributions and offers better adaptability to different scenes due to changes in lighting and the detection of shadows as well. The implemented webcam system relies on saving frames and creating GIF and JPGs files with previously saved frames. In particular the Background Subtraction function, find Contours, has been adopted to detect the contours. The numerical quantity of these contours has been compared with the tracking points of sensitivity obtained by setting an user-modifiable slider able to save the frames as GIFs composed by different merged JPEGs. After a full design of the image processing prototype different motion test have been performed. The results showed the importance to consider few sensitivity points in order to obtain more frequent image storages also concerning minor movements.Sensitivity points can be modified through a slider function and are inversely proportional to the number of saved images. For small object in motion will be detected a low percentage of sensitivity points.Experimental results proves that the setting condition are mainly function of the typology of moving object rather than the light conditions. The proposed prototype system is suitable for video surveillance smart
camera in industrial systems.
Icaros Photogrammetric Suite (IPS) Module OverviewIcarosMapping
Product Overview - Icaros Photogrammetric Suite (IPS) of software. Includes descriptions of each module of IPS, to include aerial triangulation, elevation extraction, orthoproduction, and advanced editing tools.
Summer research project that include evaluate two online camera calibration algorithms and use the algorithm with better test result to perform back-projection and geo-location for pedestrian to be virtualized in 3D model.
HUMAN MOTION DETECTION AND TRACKING FOR VIDEO SURVEILLANCEAswinraj Manickam
An approach to detect and track groups of people in video-surveillance applications, and to automatically recognize their behavior.
This method keeps track of individuals moving together by maintaining a spacial and temporal group coherence.
First, people are individually detected and tracked. Second, their trajectories are analyzed over a temporal window and clustered using the Mean-Shift algorithm.
A coherence value describes how well a set of people can be described as a group. Furthermore, we propose a formal event description language.
The group events recognition approach is successfully validated on 4 camera views from 3 data sets: an airport, a subway, a shopping center corridor and an entrance hall.
New Method for Traffic Density Estimation Based on Topic ModelNidhi Shirbhayye
Description: The system presents a new framework for traffic density estimation based on topic model, which is an unsupervised model. It uses a set of visual features without any individual vehicle detection and tracking need, and discovers the motion patterns automatically in traffic scenes by using topic model.
An Innovative Moving Object Detection and Tracking System by Using Modified R...sipij
The ultimate goal of this study is to afford enhanced video object detection and tracking by eliminating the
limitations which are existing nowadays. Although high performance ratio for video object detection and
tracking is achieved in the earlier work it takes more time for computation. Consequently we are in need to
propose a novel video object detection and tracking technique so as to minimize the computational
complexity. Our proposed technique covers five stages they are preprocessing, segmentation, feature
extraction, background subtraction and hole filling. Originally the video clip in the database is split into
frames. Then preprocessing is performed so as to get rid of noise, an adaptive median filter is used in this
stage to eliminate the noise. The preprocessed image then undergoes segmentation by means of modified
region growing algorithm. The segmented image is subjected to feature extraction phase so as to extract
the multi features from the segmented image and the background image, the feature value thus obtained
are compared so as to attain optimal value, consequently a foreground image is attained in this stage. The
foreground image is then subjected to morphological operations of erosion and dilation so as to fill the
holes and to get the object accurately as these foreground image contains holes and discontinuities. Thus
the moving object is tracked in this stage. This method will be employed in MATLAB platform and the
outcomes will be studied and compared with the existing techniques so as to reveal the performance of the
novel video object detection and tracking technique.
Automated Traffic sign board classification system is one of the key technologies of Intelligent
Transportation Systems (ITS). Traffic Surveillance System is being more and important with improving
urban scale and increasing number of vehicles. This Paper presents an intelligent sign board
classification method based on blob analysis in traffic surveillance. Processing is done by three main
steps: moving object segmentation, blob analysis, and classifying. A Sign board is modelled as a
rectangular patch and classified via blob analysis. By processing the blob of sign boards, the meaningful
features are extracted. Tracking moving targets is achieved by comparing the extracted features with
training data. After classifying the sign boards the system will intimate to user in the form of alarms,
sound waves. The experimental results show that the proposed system can provide real-time and useful
information for traffic surveillance.
Real Time Detection of Moving Object Based on Fpgaiosrjce
IOSR Journal of Electronics and Communication Engineering(IOSR-JECE) is a double blind peer reviewed International Journal that provides rapid publication (within a month) of articles in all areas of electronics and communication engineering and its applications. The journal welcomes publications of high quality papers on theoretical developments and practical applications in electronics and communication engineering. Original research papers, state-of-the-art reviews, and high quality technical notes are invited for publications.
Interactive Full-Body Motion Capture Using Infrared Sensor Network ijcga
Traditional motion capture (mocap) has been well-studied in visual science for the last decades. However the field is mostly about capturing precise animation to be used in specific applications after intensive post processing such as studying biomechanics or rigging models in movies. These data sets are normally captured in complex laboratory environments with sophisticated equipment thus making motion capture a
field that is mostly exclusive to professional animators. In addition, obtrusive sensors must be attached to actors and calibrated within the capturing system, resulting in limited and unnatural motion. In recent year the rise of computer vision and interactive entertainment opened the gate for a different type of motion capture which focuses on producing optical markerless or mechanical sensorless motion capture. Furthermore a wide array of low-cost device are released that are easy to use for less mission critical applications. This paper describes a new technique of using multiple infrared devices to process data from multiple infrared sensors to enhance the flexibility and accuracy of the markerless mocap using commodity
devices such as Kinect. The method involves analyzing each individual sensor data, decompose and rebuild
them into a uniformed skeleton across all sensors. We then assign criteria to define the confidence level of
captured signal from sensor. Each sensor operates on its own process and communicates through MPI.
Our method emphasizes on the need of minimum calculation overhead for better real time performance
while being able to maintain good scalability.
Builder.ai Founder Sachin Dev Duggal's Strategic Approach to Create an Innova...Ramesh Iyer
In today's fast-changing business world, Companies that adapt and embrace new ideas often need help to keep up with the competition. However, fostering a culture of innovation takes much work. It takes vision, leadership and willingness to take risks in the right proportion. Sachin Dev Duggal, co-founder of Builder.ai, has perfected the art of this balance, creating a company culture where creativity and growth are nurtured at each stage.
Generating a custom Ruby SDK for your web service or Rails API using Smithyg2nightmarescribd
Have you ever wanted a Ruby client API to communicate with your web service? Smithy is a protocol-agnostic language for defining services and SDKs. Smithy Ruby is an implementation of Smithy that generates a Ruby SDK using a Smithy model. In this talk, we will explore Smithy and Smithy Ruby to learn how to generate custom feature-rich SDKs that can communicate with any web service, such as a Rails JSON API.
Accelerate your Kubernetes clusters with Varnish CachingThijs Feryn
A presentation about the usage and availability of Varnish on Kubernetes. This talk explores the capabilities of Varnish caching and shows how to use the Varnish Helm chart to deploy it to Kubernetes.
This presentation was delivered at K8SUG Singapore. See https://feryn.eu/presentations/accelerate-your-kubernetes-clusters-with-varnish-caching-k8sug-singapore-28-2024 for more details.
JMeter webinar - integration with InfluxDB and GrafanaRTTS
Watch this recorded webinar about real-time monitoring of application performance. See how to integrate Apache JMeter, the open-source leader in performance testing, with InfluxDB, the open-source time-series database, and Grafana, the open-source analytics and visualization application.
In this webinar, we will review the benefits of leveraging InfluxDB and Grafana when executing load tests and demonstrate how these tools are used to visualize performance metrics.
Length: 30 minutes
Session Overview
-------------------------------------------
During this webinar, we will cover the following topics while demonstrating the integrations of JMeter, InfluxDB and Grafana:
- What out-of-the-box solutions are available for real-time monitoring JMeter tests?
- What are the benefits of integrating InfluxDB and Grafana into the load testing stack?
- Which features are provided by Grafana?
- Demonstration of InfluxDB and Grafana using a practice web application
To view the webinar recording, go to:
https://www.rttsweb.com/jmeter-integration-webinar
Encryption in Microsoft 365 - ExpertsLive Netherlands 2024Albert Hoitingh
In this session I delve into the encryption technology used in Microsoft 365 and Microsoft Purview. Including the concepts of Customer Key and Double Key Encryption.
GraphRAG is All You need? LLM & Knowledge GraphGuy Korland
Guy Korland, CEO and Co-founder of FalkorDB, will review two articles on the integration of language models with knowledge graphs.
1. Unifying Large Language Models and Knowledge Graphs: A Roadmap.
https://arxiv.org/abs/2306.08302
2. Microsoft Research's GraphRAG paper and a review paper on various uses of knowledge graphs:
https://www.microsoft.com/en-us/research/blog/graphrag-unlocking-llm-discovery-on-narrative-private-data/
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...James Anderson
Effective Application Security in Software Delivery lifecycle using Deployment Firewall and DBOM
The modern software delivery process (or the CI/CD process) includes many tools, distributed teams, open-source code, and cloud platforms. Constant focus on speed to release software to market, along with the traditional slow and manual security checks has caused gaps in continuous security as an important piece in the software supply chain. Today organizations feel more susceptible to external and internal cyber threats due to the vast attack surface in their applications supply chain and the lack of end-to-end governance and risk management.
The software team must secure its software delivery process to avoid vulnerability and security breaches. This needs to be achieved with existing tool chains and without extensive rework of the delivery processes. This talk will present strategies and techniques for providing visibility into the true risk of the existing vulnerabilities, preventing the introduction of security issues in the software, resolving vulnerabilities in production environments quickly, and capturing the deployment bill of materials (DBOM).
Speakers:
Bob Boule
Robert Boule is a technology enthusiast with PASSION for technology and making things work along with a knack for helping others understand how things work. He comes with around 20 years of solution engineering experience in application security, software continuous delivery, and SaaS platforms. He is known for his dynamic presentations in CI/CD and application security integrated in software delivery lifecycle.
Gopinath Rebala
Gopinath Rebala is the CTO of OpsMx, where he has overall responsibility for the machine learning and data processing architectures for Secure Software Delivery. Gopi also has a strong connection with our customers, leading design and architecture for strategic implementations. Gopi is a frequent speaker and well-known leader in continuous delivery and integrating security into software delivery.
Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...UiPathCommunity
💥 Speed, accuracy, and scaling – discover the superpowers of GenAI in action with UiPath Document Understanding and Communications Mining™:
See how to accelerate model training and optimize model performance with active learning
Learn about the latest enhancements to out-of-the-box document processing – with little to no training required
Get an exclusive demo of the new family of UiPath LLMs – GenAI models specialized for processing different types of documents and messages
This is a hands-on session specifically designed for automation developers and AI enthusiasts seeking to enhance their knowledge in leveraging the latest intelligent document processing capabilities offered by UiPath.
Speakers:
👨🏫 Andras Palfi, Senior Product Manager, UiPath
👩🏫 Lenka Dulovicova, Product Program Manager, UiPath
5. Distribution of work Moving Cam. Static Cam. mosaicing Foreground Detect. shilouettes HMM class. Body model Motion features Periodicity Pedestrian detection Tracking sound classification Unusual event Region alert Sztaki ACV BILKENT UPC
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7. Details on the algorithmic modules Human detection by clustering and model-based verification VIDEO Kernel-based human tracking using motion information VIDEO Occlusion handling VIDEO Tracking evaluation (comparison to manual ground truth)
8. Evaluation video datasets (street scenarios) Sequence Street_01.avi: 720x576 pixels, 8628 frames (tracking ground truth available for 1040 frames) Sequence Street_02.avi: 720x576 pixels, 763 frames (tracking ground truth available for 763 frames)
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