computer-vision-9

Repetitive Action Counting

3260 papers • 126 benchmarks • 313 datasets

Repetitive action counting aims to count the number of repetitive actions in a video.

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TransRAC: Encoding Multi-scale Temporal Correlation with Transformers for Repetitive Action Counting

Shenghua Gao, Huazhang Hu, Sixun Dong, Yiqun Zhao, Dongze Lian, Zhengxin Li•Sat Apr 02 2022

This work introduces a new large-scale repetitive action counting dataset covering a wide variety of video lengths, along with more realistic situations where action interruption or action inconsistencies occur in the video, and proposes a density map regression-based method to predict the action period.

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PoseRAC: Pose Saliency Transformer for Repetitive Action Counting

Yuexian Zou, Ziyu Yao•Tue Mar 14 2023

A pose-level method, PoseRAC, is introduced, which is based on this representation and achieves state-of-the-art performance on two new version datasets by using Pose Saliency Annotation to annotate salient poses for training.

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