Stars
Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.
AutoVideo: An Automated Video Action Recognition System
Multi Person Skeleton Based Action Recognition and Tracking
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 !!!)
Online 3D skeleton-based action recognition with a single RGB camera
OpenPose: Real-time multi-person keypoint detection library for body, face, hands, and foot estimation
Official project website for the CVPR 2020 paper (Oral Presentation) "Cascaded deep monocular 3D human pose estimation wth evolutionary training data"
[BMVC2021] "TransFusion: Cross-view Fusion with Transformer for 3D Human Pose Estimation"
[CVPR 2020 Oral] PyTorch implementation of "Disentangling and Unifying Graph Convolutions for Skeleton-Based Action Recognition"
tobiascz / VideoPose3D
Forked from facebookresearch/VideoPose3DEfficient 3D human pose estimation in video using 2D keypoint trajectories
Real-time 3D human pose estimation, implemented by tensorflow
This is the code of "Human Pose Estimation from Monocular Video"
A OpenMMLAB toolbox for human pose estimation, skeleton-based action recognition, and action synthesis.
The PyTorch implementation for "Improving Robustness and Accuracy via Relative Information Encoding in 3D Human Pose Estimation" (ACM MM2021).
Efficient 3D human pose estimation in video using 2D keypoint trajectories
code for ICCV 2019 Paper Exploiting Spatial-temporal Relationships for 3D Pose Estimation via Graph Convolutional Networks
A simple baseline for 3d human pose estimation in tensorflow. Presented at ICCV 17.
Official PyTorch implementation of "Camera Distance-aware Top-down Approach for 3D Multi-person Pose Estimation from a Single RGB Image", ICCV 2019
The project is an official implementation of our CVPR2020 paper "Attention Mechanism Exploits Temporal Contexts: Real-time 3D Human Pose Reconstruction"
A Graph Attention Spatio-temporal Convolutional Networks for 3D Human Pose Estimation in Video (GAST-Net)
Exploiting temporal information for 3D pose estimation
A Graph Attention Spatio-temporal Convolutional Networks for 3D Human Pose Estimation in Video (GAST-Net)
A new and computationally cheap method to perform human activity recognition using PoseNet and LSTM. Where we use PoseNet for Preprocessing and LSTM for understand the sequence.
Convolutional Neural Network for Human Activity Recognition in Tensorflow
Human Activity Recognition example using TensorFlow on smartphone sensors dataset and an LSTM RNN. Classifying the type of movement amongst six activity categories - Guillaume Chevalier
Real-Time Spatio-Temporally Localized Activity Detection by Tracking Body Keypoints
Human Pose Estimation Related Publication
Given a single RGB image containing one or several persons, 2D/3D Pose Estimation is the task of producing a 2- or 3-dimentional key points that match the spatial position of the depicted person. T…