Activity Recognition using Temporal Optical Flow Convolutional Features and Multi-Layer LSTM
Surveillance System Against Violence
Tools for movie and video research
[Neurocomputing 2019] Fast and Robust Dynamic Hand Gesture Recognition via Key Frames Extraction and Feature Fusion
Real time Fight Detection Based on 2D Pose Estimation and RNN Action Recognition
Real-time action recognition on Nvidia Tegra X2 using CSI cameras. The neural network is trained on KTH dataset.
Implementation Code of the paper Optical Flow Guided Feature, CVPR 2018
Distance-based Methods for Action Recognition in Motion Capture Data
Video-friendly caffe -- comes with the most recent version of Caffe (as of Jan 2019), a video reader, 3D(ND) pooling layer, and an example training script for C3D network and UCF-101 data
Caffe implementation for "Hidden Two-Stream Convolutional Networks for Action Recognition"
Activity recognition with volume motion templates and histograms of 3D gradients
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