1. The document summarizes research on improving a single person pose recognition and tracking system using computer vision techniques. The goal is to better detect body parts and recognize poses in real-time using a single camera.
2. Key aspects of the system include using a mixture of Gaussians model for background subtraction, and a particle filter for tracking the torso and head. Hand detection is improved by combining skin color detection with the human blob silhouette.
3. The research aims to improve pose recognition performance by classifying "non-poses" - poses that are different from the predefined poses. Experiments show that increasing the dataset size and adding a "non-pose" class leads to better detection results.
The project is about building a human-computer interaction system
using hand gesture by cheap alternative to depth camera. We present
a robust , efficient and real-time technique for depth mapping using
normal 2D -camera and Infrared LED arrays . We use HOG feature
based SVM classifiers to predict hand pose and dynamic hand gestures . The system also tracks hand movements and events like grabbing and
clicking bythe hand.
The project is about building a human-computer interaction system
using hand gesture by cheap alternative to depth camera. We present
a robust , efficient and real-time technique for depth mapping using
normal 2D -camera and Infrared LED arrays . We use HOG feature
based SVM classifiers to predict hand pose and dynamic hand gestures . The system also tracks hand movements and events like grabbing and
clicking bythe hand.
The Grand Canyon presents a myriad of photographic opportunities for the amateur photo enthusiast. Moments turn into memories. Elements turn into easels. And novelty turns into nostalgia. All in a series of tiny vignettes, waiting to be shared.
Don’t let your joy fade into oblivion. Keep it alive by striking a pose and passing it along. We handpicked a few Instagram pics that will have You wanting to visit the Grand Canyon just to STRIKE a POSE!
Deformable Part Models are Convolutional Neural NetworksWei Yang
Girshick, Ross, et al. "Deformable part models are convolutional neural networks." Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. 2015.
‘Secretarial Audit’ is introduced by recently enacted Companies Act, 2013. It is a process to check compliances made by the Company under Corporate Law & other laws, rules, regulations, procedures etc.
Incorporation of One Person Company under Companies Act 2013Megha Aggarwal
No need to have a co-founder. Even one man show can incorporate a Company and enjoy the benefits of limited liability and separate legal entity.
All sole proprietors should go for OPC
The Grand Canyon presents a myriad of photographic opportunities for the amateur photo enthusiast. Moments turn into memories. Elements turn into easels. And novelty turns into nostalgia. All in a series of tiny vignettes, waiting to be shared.
Don’t let your joy fade into oblivion. Keep it alive by striking a pose and passing it along. We handpicked a few Instagram pics that will have You wanting to visit the Grand Canyon just to STRIKE a POSE!
Deformable Part Models are Convolutional Neural NetworksWei Yang
Girshick, Ross, et al. "Deformable part models are convolutional neural networks." Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. 2015.
‘Secretarial Audit’ is introduced by recently enacted Companies Act, 2013. It is a process to check compliances made by the Company under Corporate Law & other laws, rules, regulations, procedures etc.
Incorporation of One Person Company under Companies Act 2013Megha Aggarwal
No need to have a co-founder. Even one man show can incorporate a Company and enjoy the benefits of limited liability and separate legal entity.
All sole proprietors should go for OPC
Presented at JavaZone (9th September 2015)
Video available at https://vimeo.com/138863968
The three-act play, the given–when–then BDD triptych, the three steps of the Feynman problem-solving algorithm... a surprising number of things appear to come in threes. This talk walks through — and has some fun with — a number of triples that affect and are found in software development.
Beyond Frontal Faces: Improving Person Recognition Using Multiple CuesJoão Gabriel Lima
We explore the task of recognizing peoples’ identities
in photo albums in an unconstrained setting. To facilitate
this, we introduce the new
People In Photo Albums (PIPA)
dataset, consisting of over 60000 instances of
2000 in-
dividuals collected from public Flickr photo albums. With
only about half of the person images containing a frontal
face, the recognition task is very challenging due to the
large variations in pose, clothing, camera viewpoint, image
resolution and illumination. We propose the Pose Invariant
PErson Recognition (PIPER) method, which accumulates
the cues of poselet-level person recognizers trained by deep
convolutional networks to discount for the pose variations,
combined with a face recognizer and a global recognizer.
Experiments on three different settings confirm that in our
unconstrained setup PIPER significantly improves on the
performance of DeepFace, which is one of the best face rec-
ognizers as measured on the LFW dataset.
Delta Analytics is a 501(c)3 non-profit in the Bay Area. We believe that data is powerful, and that anybody should be able to harness it for change. Our teaching fellows partner with schools and organizations worldwide to work with students excited about the power of data to do good.
Welcome to the course! These modules will teach you the fundamental building blocks and the theory necessary to be a responsible machine learning practitioner in your own community. Each module focuses on accessible examples designed to teach you about good practices and the powerful (yet surprisingly simple) algorithms we use to model data.
To learn more about our mission or provide feedback, take a look at www.deltanalytics.org.
Process the sentiments of NLP with Naive Bayes Rule, Random Forest, Support Vector Machine, and much more.
Thanks, for your time, if you enjoyed this short slide there are tons of topics in advanced analytics, data science, and machine learning available in my medium repo. https://medium.com/@bobrupakroy
It is an introductory slide for pattern recolonization. This presentation was quit emotional for me because it was the last academic presentation in Green University of Bangladesh. For that i have used a sad emo at the first of the slide.
Software Delivery At the Speed of AI: Inflectra Invests In AI-Powered QualityInflectra
In this insightful webinar, Inflectra explores how artificial intelligence (AI) is transforming software development and testing. Discover how AI-powered tools are revolutionizing every stage of the software development lifecycle (SDLC), from design and prototyping to testing, deployment, and monitoring.
Learn about:
• The Future of Testing: How AI is shifting testing towards verification, analysis, and higher-level skills, while reducing repetitive tasks.
• Test Automation: How AI-powered test case generation, optimization, and self-healing tests are making testing more efficient and effective.
• Visual Testing: Explore the emerging capabilities of AI in visual testing and how it's set to revolutionize UI verification.
• Inflectra's AI Solutions: See demonstrations of Inflectra's cutting-edge AI tools like the ChatGPT plugin and Azure Open AI platform, designed to streamline your testing process.
Whether you're a developer, tester, or QA professional, this webinar will give you valuable insights into how AI is shaping the future of software delivery.
Search and Society: Reimagining Information Access for Radical FuturesBhaskar Mitra
The field of Information retrieval (IR) is currently undergoing a transformative shift, at least partly due to the emerging applications of generative AI to information access. In this talk, we will deliberate on the sociotechnical implications of generative AI for information access. We will argue that there is both a critical necessity and an exciting opportunity for the IR community to re-center our research agendas on societal needs while dismantling the artificial separation between the work on fairness, accountability, transparency, and ethics in IR and the rest of IR research. Instead of adopting a reactionary strategy of trying to mitigate potential social harms from emerging technologies, the community should aim to proactively set the research agenda for the kinds of systems we should build inspired by diverse explicitly stated sociotechnical imaginaries. The sociotechnical imaginaries that underpin the design and development of information access technologies needs to be explicitly articulated, and we need to develop theories of change in context of these diverse perspectives. Our guiding future imaginaries must be informed by other academic fields, such as democratic theory and critical theory, and should be co-developed with social science scholars, legal scholars, civil rights and social justice activists, and artists, among others.
State of ICS and IoT Cyber Threat Landscape Report 2024 previewPrayukth K V
The IoT and OT threat landscape report has been prepared by the Threat Research Team at Sectrio using data from Sectrio, cyber threat intelligence farming facilities spread across over 85 cities around the world. In addition, Sectrio also runs AI-based advanced threat and payload engagement facilities that serve as sinks to attract and engage sophisticated threat actors, and newer malware including new variants and latent threats that are at an earlier stage of development.
The latest edition of the OT/ICS and IoT security Threat Landscape Report 2024 also covers:
State of global ICS asset and network exposure
Sectoral targets and attacks as well as the cost of ransom
Global APT activity, AI usage, actor and tactic profiles, and implications
Rise in volumes of AI-powered cyberattacks
Major cyber events in 2024
Malware and malicious payload trends
Cyberattack types and targets
Vulnerability exploit attempts on CVEs
Attacks on counties – USA
Expansion of bot farms – how, where, and why
In-depth analysis of the cyber threat landscape across North America, South America, Europe, APAC, and the Middle East
Why are attacks on smart factories rising?
Cyber risk predictions
Axis of attacks – Europe
Systemic attacks in the Middle East
Download the full report from here:
https://sectrio.com/resources/ot-threat-landscape-reports/sectrio-releases-ot-ics-and-iot-security-threat-landscape-report-2024/
"Impact of front-end architecture on development cost", Viktor TurskyiFwdays
I have heard many times that architecture is not important for the front-end. Also, many times I have seen how developers implement features on the front-end just following the standard rules for a framework and think that this is enough to successfully launch the project, and then the project fails. How to prevent this and what approach to choose? I have launched dozens of complex projects and during the talk we will analyze which approaches have worked for me and which have not.
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
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/
UiPath Test Automation using UiPath Test Suite series, part 3DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 3. In this session, we will cover desktop automation along with UI automation.
Topics covered:
UI automation Introduction,
UI automation Sample
Desktop automation flow
Pradeep Chinnala, Senior Consultant Automation Developer @WonderBotz and UiPath MVP
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
The Art of the Pitch: WordPress Relationships and SalesLaura Byrne
Clients don’t know what they don’t know. What web solutions are right for them? How does WordPress come into the picture? How do you make sure you understand scope and timeline? What do you do if sometime changes?
All these questions and more will be explored as we talk about matching clients’ needs with what your agency offers without pulling teeth or pulling your hair out. Practical tips, and strategies for successful relationship building that leads to closing the deal.
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...DanBrown980551
Do you want to learn how to model and simulate an electrical network from scratch in under an hour?
Then welcome to this PowSyBl workshop, hosted by Rte, the French Transmission System Operator (TSO)!
During the webinar, you will discover the PowSyBl ecosystem as well as handle and study an electrical network through an interactive Python notebook.
PowSyBl is an open source project hosted by LF Energy, which offers a comprehensive set of features for electrical grid modelling and simulation. Among other advanced features, PowSyBl provides:
- A fully editable and extendable library for grid component modelling;
- Visualization tools to display your network;
- Grid simulation tools, such as power flows, security analyses (with or without remedial actions) and sensitivity analyses;
The framework is mostly written in Java, with a Python binding so that Python developers can access PowSyBl functionalities as well.
What you will learn during the webinar:
- For beginners: discover PowSyBl's functionalities through a quick general presentation and the notebook, without needing any expert coding skills;
- For advanced developers: master the skills to efficiently apply PowSyBl functionalities to your real-world scenarios.
Let's dive deeper into the world of ODC! Ricardo Alves (OutSystems) will join us to tell all about the new Data Fabric. After that, Sezen de Bruijn (OutSystems) will get into the details on how to best design a sturdy architecture within ODC.
1. Defender: Javier Barbadillo Amor Information and Communication Theory (ICT) Group Delft University of Technology Committee: Dr. Alan Hanjalic Dr. Emile. A. Hendriks PhD. Feifei Huo Dr. Pavel Paclik Single Person Pose Recognition and Tracking 25-06-2010
