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- Title
A Self-Organizing Multi-Layer Agent Computing System for Behavioral Clustering Recognition.
- Authors
Qian, Xingyu; Yuemaier, Aximu; Yang, Wenchi; Chen, Xiaogang; Liang, Longfei; Li, Shunfen; Dai, Weibang; Song, Zhitang
- Abstract
Video behavior recognition often needs to focus on object motion processes. In this work, a self-organizing computational system oriented toward behavioral clustering recognition is proposed, which achieves the extraction of motion change patterns through binary encoding and completes motion pattern summarization using a similarity comparison algorithm. Furthermore, in the face of unknown behavioral video data, a self-organizing structure with layer-by-layer accuracy progression is used to achieve motion law summarization using a multi-layer agent design approach. Finally, the real-time feasibility is verified in the prototype system using real scenes to provide a new feasible solution for unsupervised behavior recognition and space-time scenes.
- Subjects
COMPUTER systems; SELF-organizing systems; FIELD programmable gate arrays
- Publication
Sensors (14248220), 2023, Vol 23, Issue 12, p5435
- ISSN
1424-8220
- Publication type
Article
- DOI
10.3390/s23125435