| Summary: | 碩士 === 國立交通大學 === 資訊科學與工程研究所 === 102 === In order to monitor all kinds of events in daily life, surveillance cameras are widely used nowadays. Millions of surveillance records present challenges to their browsing and retrieving. Previous approaches are proposed to address this problem by eliminating the inherent spatiotemporal redundancy as much as possible. However, maximizing the visual information in the synopsis frames may distract the visual attention of viewers. While simultaneously showing several events on one screen, users would make more mistakes or perform their tasks more slowly. Therefore, a novel synopsis system capable of making coherent video summary is proposed in this thesis to overcome the above challenges. Two main contributions of making the coherent synopsis video with trajectories are: 1) Events with similar trajectories are easy to retrieve simultaneously. 2) An abnormal event can be distinguished from normal events by analyzing moving patterns.
Longest Common Subsequence (LCS) is applied to measure the similarity among trajectories due to its robustness and stretchiness. Finally, the clear display and efficient condensation can be obtained from the coherent event based synopsis video. Comprehensive experiments conducted on various surveillance videos demonstrate the satisfactory performance of our proposed system.
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