Real-Time Spatio-Temporally Localized Activity Detection by Tracking Body Keypoints

deep learning sex position classifier

This repository allows you to classify 40 different human actions. Pose detection, estimation and classification is also performed. Poses are classified into sitting, upright and lying down.

Keras implementation of Human Action Recognition for the data set State Farm Distracted Driver Detection (Kaggle)

Source code for "Learning Graph Convolutional Network for Skeleton-based Human Action Recognition by Neural Searching", AAAI2020

Surveillance Perspective Human Action Recognition Dataset: 7759 Videos from 14 Action Classes, aggregated from multiple sources, all cropped spatio-temporally and filmed from a surveillance-camera like position.

This repository contains the MPOSE2021 Dataset for short-time pose-based Human Action Recognition (HAR).

[AAAI-2024] HARDVS: Revisiting Human Activity Recognition with Dynamic Vision Sensors

This repository provides implementation of a baseline method and our proposed methods for efficient Skeleton-based Human Action Recognition.

Human Activity Recognition Research Repository

Code for HAR-GCNN: Deep Graph CNNs for Human Activity Recognition From Highly Unlabeled Mobile Sensor Data, IEEE PerCom CoMoRea 2022

A skeleton-based real-time online action recognition project, classifying and recognizing base on framewise joints, which can be used for safety surveilence.

Implementation of some popular skeleton based Human Action Recognition methods basis on Deep Neural Networks.

Source code of experiments performed in paper: Human Action Recognition in Videos Based on Spatiotemporal Features and Bag-of-Poses

A human action dataset collected from Elder Scrolls V: Skyrim

Implementation of ST-GCN for continuous inference and a novel lightweight realtime RT-ST-GCN

An AI-powered Human Action Recognition system that classifies 15 common human activities using deep learning and computer vision. Built with TensorFlow, Keras, and OpenCV, the system supports real-time predictions from live camera feeds or uploaded images/videos through a user-friendly PyQt interface.

Human Activity Detection with TensorFlow and Python.

[ECCV 2024]Temporary code for "Ad-HGformer: An Adaptive HyperGraph Transformer for Skeletal Action Recognition"

This python opencv code is used to segment the human object from the video frame