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

• UpdatedOct 27, 2024
• Python

deep learning sex position classifier

• UpdatedMar 31, 2024
• Python

Modern human action classification system using MediaPipe pose estimation and PyTorch deep learning, achieving 47x faster inference than the original TensorFlow implementation. Supports 100+ model architectures for classifying 40 human actions with real-time performance suitable for autonomous vehicles and video surveillance.

• UpdatedOct 28, 2025
• Python

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

• UpdatedSep 23, 2016
• Python

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

• UpdatedJun 18, 2020
• Python

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.

• UpdatedApr 2, 2025
• Python

A Comprehensive Tutorial on Video Modeling

• UpdatedJun 13, 2020
• Jupyter Notebook

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

• UpdatedNov 9, 2023
• Python

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

• UpdatedApr 22, 2025
• Python

[TPAMI 2020] "Privacy-Preserving Deep Action Recognition: An Adversarial Learning Framework and A New Dataset" by Zhenyu Wu, Haotao Wang, Zhaowen Wang, Hailin Jin, and Zhangyang Wang

• UpdatedDec 30, 2021
• Jupyter Notebook

Computer Vision Project : Action Recognition on UCF101 Dataset

• UpdatedDec 14, 2019
• Jupyter Notebook

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

• UpdatedNov 22, 2024
• Python

MSR Action Recognition Datasets and Codes

• UpdatedJun 8, 2019
• Jupyter Notebook

Activity Recognition using Temporal Optical Flow Convolutional Features and Multi-Layer LSTM

• UpdatedJul 27, 2025
• C++

Deep learning model that predicts human action in a given video feed using pose estimation

• UpdatedMar 30, 2019
• Jupyter Notebook

机器学习实现基于手机六轴数据的人体动作识别和计数功能。并利用云服务器和微信小程序在手机上实现。 Use machine learning to achieve human activity recognition and counting function based on cell phone six-axis data. Achieve it on phone using ECS and WeChat mini-program.

• UpdatedDec 26, 2022
• Jupyter Notebook

A real-time inferencing of multistreaming YOWOv3(Spatio Temporal Action Detection task) using (UCF101-24) dataset. The repo is extension ofhttps://github.com/Hope1337/YOWOv3,https://arxiv.org/pdf/2408.02623

• UpdatedSep 29, 2025
• Python

Human Activity Recognition Research Repository

• UpdatedAug 30, 2024
• Python

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

• UpdatedMay 9, 2022
• Python

This includes a novel method to measure the quality of the actions performed in Olympic weightlifting using human action recognition in videos. Human action recognition is a well-studied problem in computer vision and on the other hand action quality assessment is researched and experimented comparatively low. This is due to the lack of datasets…

• UpdatedJul 3, 2021