CS 838 Learning Based Methods in Computer Vision
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Updated
Nov 5, 2019 - Jupyter Notebook
CS 838 Learning Based Methods in Computer Vision
Violence Detection in Surveillance from Drones
This repository contains the deployment of several modules used for the project ErgoCub
mmWave based action recognition using ROS.
Apply ML to the skeletons from OpenPose; 9 actions; multiple people. (WARNING: I'm sorry that this is only good for course demo, not for real world applications !!! Those ary very difficult !!!)
Human Activity Detection with TensorFlow and Python.
RepCount using skeleton and joint information
Фреймворк компьютерного зрения для задач, детекции, сегментации, классификации, идентификации людей, анализа настроений и классификации действий
FG 2024 Papers: Explore a comprehensive collection of research papers presented at one of the premier conferences on automatic face and gesture recognition. Seamlessly integrate code implementations for better understanding. ⭐ Experience the cutting edge of progress in facial analysis, gesture recognition, and biometrics with this repository!
This repository dedicated to Adaptive Deep Learning for Environment-Agnostic Human Action Recognition. This project focuses on developing a robust deep learning system tailored for accurate identification and analysis of human actions across diverse environments, with applications spanning surveillance, security, sports, and fitness.
A curated list of action recognition and related area resources
video action recognition tasks using deep learning, just for fun...
Deep learning algorithm to sort images in time dimension. Images belong to same activity and are corresponding frames in a short duration of time
A GUI which enables action classification and labelling of soccer player’s action in a broadcast video based on teams. Focus Areas: dribbling,kicking, running and passing using over 2000 sample images Methodology Create a flask application Connect to the User Interface(React) Use the trained model to process video frames Detect the skeleton(s) i…
Conclusion of undergraduate research in NIP-UPD
This project allows to train and test sign language data to identify numbers, the alphabet and poses with the help of opencv and mediapipe
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