Abnormality Detection in Video Surveillance Using Trajectory and Frame Features

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題名:	Abnormality Detection in Video Surveillance Using Trajectory and Frame Features
作者:	Tzu-Chin Chang
貢獻者:	Department of Computer Science and Information Engineering
關鍵詞:	Abnormal Event Detection;Trajectory Feature;Frame Feature;Video Surveillance
日期:	2011
上傳時間:	2011-04-06 08:42:59 (UTC+0)
出版者:	Asia University
摘要:	Current approaches for abnormal event detection in video surveillance either based solely on object trajectories, or seek global changes in scene content as representations for detection. A limitation of trajectory-based approaches is that they depend on the existence of reliable methods for tracking moving objects, and the drawback of frame-based methods is that feature signal computed globally might not be discriminative enough to identify certain events. In this study, we propose a framework for abnormality detection using both descriptive trajectory features and robust frame features. The aggregate feature set contains rich and stable information for describing motion events in a video segment. We show the performance of the proposed framework on common video surveillance applications.
顯示於類別:	[資訊工程學系] 博碩士論文

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