Paper
2 November 2022 A practical time series action detection algorithm
Tao Ling, Jing Ling
Author Affiliations +
Proceedings Volume 12351, International Conference on Advanced Sensing and Smart Manufacturing (ASSM 2022); 123511I (2022) https://doi.org/10.1117/12.2655049
Event: International Conference on Advanced Sensing and Smart Manufacturing (ASSM 2022), 2022, Nanjing, China
Abstract
This paper proposes a time series action detection algorithm. Based on the classical SlowFast algorithm, the input image of the slow channel is determined according to the image stability index to improve the detection accuracy of the slow module. Mixed algorithm to reduce fast-channel computations by determining input video segments for fast-channel based on fast skeletal action detection. By preprocessing, it can greatly reduce the computational load of SlowFast algorithm and improve its accuracy.
© (2022) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Tao Ling and Jing Ling "A practical time series action detection algorithm", Proc. SPIE 12351, International Conference on Advanced Sensing and Smart Manufacturing (ASSM 2022), 123511I (2 November 2022); https://doi.org/10.1117/12.2655049
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KEYWORDS
Video

Detection and tracking algorithms

Image segmentation

Semantic video

Image processing algorithms and systems

Video processing

Convolution

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