R&D for action detection.
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Updated
May 14, 2024 - Python
R&D for action detection.
Tensorflow Implementation of the Paper "SST: Single-Stream Temporal Action Proposals" in CVPR 2017.
Action-Net is a dataset containing images of 16 different human actions.
Code for the Paper: Quasi-Online Detection of Take and Release Actions from Egocentric Videos. International Conference on Image Analysis and Processing 2023.
Detect and count steel mace swings using computer vision
Make AVADataset custom dataset.
This is an official implementation of TubeR: Tubelet Transformer for Video Action Detection Supplementary Material
Action Detection is ipython notebook contains all steps of training action recognition model with optical flow and single person tracking
Code and material relevant to the paper, "Introducing SSBD+ Dataset with a Convolutional Pipeline for detecting Self-Stimulatory Behaviours in Children using raw videos"
Action count detection system which has web and android side
MMAct: A Large-Scale Dataset for Cross Modal Learning on Human Action Understanding
Source code for paper "Multistream Temporal Convolutional Network for Correct/Incorrect Patient Transfer Action Detection Using Body Sensor Network" on public dataset C-MHAD
Video Action Recognition Study
Video vision transformers for hierarchical anomaly detection in video scenes.
A curated list of papers in the domain of spatio-temporal action detection (or action localization.) NOTE: This repository does not contains papers for Temporal Action Localization.
This is the official implementation of KORSAL: Key-Point Detection based Online Real-Time Spatio-Temporal Action Detection. We use CenterNet to locate actions spatially - the first use of key-points in action detection.
W-TALC: Weakly-supervised Temporal Activity Localization and Classification
A toolkit for the DeepSportradar Bowl Release challenge. An opportunity to publish at MMSports @ ACMMM and to win 2x $500.
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