Keras implementation of Human Action Recognition for the data set State Farm Distracted Driver Detection (Kaggle)
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Updated
Sep 23, 2016 - Python
Keras implementation of Human Action Recognition for the data set State Farm Distracted Driver Detection (Kaggle)
A system for Human Action Recognition that uses the scale and body orientation invariant Skeletal Quads representation, with an LSTM network
A human action dataset collected from Elder Scrolls V: Skyrim
A skeleton-based real-time online action recognition project, classifying and recognizing base on framewise joints, which can be used for safety surveilence.
This python opencv code is used to segment the human object from the video frame
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 is an effort to provide different approaches towards human action recognition from video. A method to perform data augmentation on skeletal data so as to achieve a view independent recognition approach is included.
Implementation of CNN-Based Model for Online Action Recognition
Implementation of some popular skeleton based Human Action Recognition methods basis on Deep Neural Networks.
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.
Thesis, Video Based Human Action Recognition Using Deep Learning
Code for HAR-GCNN: Deep Graph CNNs for Human Activity Recognition From Highly Unlabeled Mobile Sensor Data, IEEE PerCom CoMoRea 2022
Human Activity Recognition Research Repository
Source code of experiments performed in paper: Human Action Recognition in Videos Based on Spatiotemporal Features and Bag-of-Poses
This repository provides implementation of a baseline method and our proposed methods for efficient Skeleton-based Human Action Recognition.
Real-Time Spatio-Temporally Localized Activity Detection by Tracking Body Keypoints
This repository contains the MPOSE2021 Dataset for short-time pose-based Human Action Recognition (HAR).
Human Pose Estimation for multi-view Human Action Recognition
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