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篇名 |
Anomaly Detection in Crowded Scenes Based on Group Motion Features
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並列篇名 | Anomaly Detection in Crowded Scenes Based on Group Motion Features |
作者 | Shuqiang Guo、Dongxue Li、Lili Yao |
英文摘要 | Event detection in crowded scenes is a challenging task for Computer Vision. In this study, based on group motion features, we propose an approach for crowded scene anomaly detection and localization. According to the motion trajectory of numerous pedestrians, both distance and relative speed between trajectories can be extracted, and the pedestrian groups can be recognized via their spatial relationship. Anomaly events in crowded scenes can be detected based on variations of group numbers and speed. To demonstrate the effectiveness of the approach, a quantitative experimental evaluation has been conducted on multiple, publicly available video sequences. |
起訖頁 | 871-879 |
關鍵詞 | Anomaly detection、Crowded scenes、Group motion features、SVM |
刊名 | 網際網路技術學刊 |
期數 | 202005 (21:3期) |
出版單位 | 台灣學術網路管理委員會 |
DOI |
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