北京航空航天大学学报2026,Vol.52Issue(1):73-79,7.DOI:10.13700/j.bh.1001-5965.2023.0752
基于多通道耦合的时空增强异常行为检测
Spatial-temporal enhanced abnormal behavior detection based on multi-channel coupling
摘要
Abstract
To address the limitations of existing abnormal behavior detection models—particularly their inadequate feature representation and insufficient modeling of dynamic temporal characteristics—this paper proposes a multi-channel coupled spatio-temporal enhanced anomaly detection method.Built upon the SlowFast network architecture,the proposed approach integrates a multi-channel coupled spatial enhancement module into the slow pathway to strengthen static feature modeling,and a multi-channel coupled temporal enhancement module into the fast pathway to improve the discriminability of dynamic temporal features.Extensive experiments on three benchmark datasets—Violent Flow,Hockey Fight,and Real-life Violence Situations—demonstrate that the proposed method achieves prediction accuracies of 95.3%,97.3%,and 94%,respectively,outperforming current state-of-the-art approaches.The results validate the superior feature representation capability and generalization performance of the proposed method in abnormal behavior recognition tasks.关键词
SlowFast/时空增强/异常行为检测/多通道耦合/注意力机制Key words
SlowFast/spatio-temporal enhanced/abnormal behavior detection/multi-channel coupling/attention mechanism分类
航空航天引用本文复制引用
章东平,潘鑫,马道滨,米红妹,林丽莉..基于多通道耦合的时空增强异常行为检测[J].北京航空航天大学学报,2026,52(1):73-79,7.基金项目
浙江省重点研发计划(2023C01030,2022C01082,2021C03192) Zhejiang Key R&D Project of China(2023C01030,2022C01082,2021C03192) (2023C01030,2022C01082,2021C03192)