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list the most popular methods about human action recognition
Estimating depth from motion using a monocular camera - disparity map & sparse (feature) point cloud
Human action recognition from skeletal data
Code for skeletal based Human Action Recognition, done as part of my Master's thesis
A Simple But High-accuracy LSTM for human Action Recognition
Nowadays, it’s a very hot topic on video-based human action detection, which has recently been demonstrated to be very useful in a wide range of applications including video surveillance, tele-monitoring of patients and senior people, medical diagnosis and training, video content analysis and search, and intelligent human computer interaction [1]. As video camera sensors become less expensive, this approach is increasingly attractive since it is low cost and can be adapted to different video scenarios.
这是用opencv以颜色直方图法进行的关键帧提取 和 用Python以流光分析写的关键帧提取
A matlab program that preforms key-frame extraction
A novel key frame extraction technique based on motion detection and machine learning (SVM classifier)
This repository contains script to divide a video into key frames.
Key frames extraction in traffic videos using K-Means
PyTorch implementation of Human Action Recognition Based on Spatial-Temporal Attention at ICLR 2019
Spatial Temporal Graph Convolutional Networks (ST-GCN) for Skeleton-Based Action Recognition in PyTorch
PyTorch implementation of two-stream networks for video action recognition
3D skeleton-based human action recognition using two stream CNNs
View Adaptive Neural Networks for High Performance Skeleton-based Human Action Recognition
视频关键帧提取 matlab
View Adaptive Neural Networks for High Performance Skeleton-based Human Action Recognition
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