Qian, X.; Yuemaier, A.; Yang, W.; Chen, X.; Li, S.; Dai, W.; Song, Z. Adaptive Modeling Multi-Agent Learning System for Video Behavior Clustering Recognition. Preprints2023, 2023050600. https://doi.org/10.20944/preprints202305.0600.v1
APA Style
Qian, X., Yuemaier, A., Yang, W., Chen, X., Li, S., Dai, W., & Song, Z. (2023). Adaptive Modeling Multi-Agent Learning System for Video Behavior Clustering Recognition. Preprints. https://doi.org/10.20944/preprints202305.0600.v1
Chicago/Turabian Style
Qian, X., Weibang Dai and Zhitang Song. 2023 "Adaptive Modeling Multi-Agent Learning System for Video Behavior Clustering Recognition" Preprints. https://doi.org/10.20944/preprints202305.0600.v1
Abstract
In this work, we propose a self-supervised multi-agent system that meets the online learning of clustering tasks for video behavior recognition spatio-temporal tasks. Encoding visual behavioral actions as discrete temporal sequence(DTS). Real-time clustering recognition task in a multi-agent system for continuous model building, training, and correction. Finally, we implemented a fully decentralized multi-agent system and completed its feasibility verification in a surveillance video application scenario on vehicle path clustering.
Computer Science and Mathematics, Computer Vision and Graphics
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.