Real-Time Spatio-Temporally Localized Activity Detection by Tracking Body Keypoints
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Updated
Sep 23, 2023 - Python
Real-Time Spatio-Temporally Localized Activity Detection by Tracking Body Keypoints
Keras implementation of Human Action Recognition for the data set State Farm Distracted Driver Detection (Kaggle)
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.
Source code for "Learning Graph Convolutional Network for Skeleton-based Human Action Recognition by Neural Searching", AAAI2020
deep learning sex position classifier
Activity Recognition using Temporal Optical Flow Convolutional Features and Multi-Layer LSTM
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.
Computer Vision Project : Action Recognition on UCF101 Dataset
This repository contains the MPOSE2021 Dataset for short-time pose-based Human Action Recognition (HAR).
A Comprehensive Tutorial on Video Modeling
MSR Action Recognition Datasets and Codes
A skeleton-based real-time online action recognition project, classifying and recognizing base on framewise joints, which can be used for safety surveilence.
This repository provides implementation of a baseline method and our proposed methods for efficient Skeleton-based Human Action Recognition.
Implementation of some popular skeleton based Human Action Recognition methods basis on Deep Neural Networks.
Code for HAR-GCNN: Deep Graph CNNs for Human Activity Recognition From Highly Unlabeled Mobile Sensor Data, IEEE PerCom CoMoRea 2022
[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
Human Activity Recognition UCI Dataset, final score 0.97196
A human action dataset collected from Elder Scrolls V: Skyrim
Deep learning model that predicts human action in a given video feed using pose estimation
Human Activity Recognition Research Repository
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