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.
This project involves the identification of different actions from video clips where the action may or may not be performed throughout the entire duration of the video. This is done using two CNN models which are 3D-CNN and LSTM models.
An open-source toolbox for action understanding based on PyTorch
Evaluating Taekwondo Moves - This system aims to recognize and evaluate 10 foundational taekwondo moves
Projeto onde é possível visualizar a segmentação de cenas de vídeos por clusters de descritores de alta dimensionalidade.
FrVD: French Video Description dataset
3D Convolutional Neural Networks for Human Action Recognition
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