Suspicious object detection using fuzzy-color histogram

Chi Hung Chuang, Jun Wei Hsieh, Luo Wei Tsai, Pei Shiuan Ju, Kao Chin Fan

研究成果: 書貢獻/報告類型會議論文篇章同行評審

10 引文 斯高帕斯(Scopus)

摘要

This paper proposes a novel method to detect suspicious objects from videos for abnormal event analysis. When considering a robbery event happens, there should be some suspicious object transferring conditions following between the forager and the victim. Since there is no prior knowledge about the object's property, it is difficult to automatically analyze the conditions without any manual efforts. To tackle this problem, a ratio histogram based on fuzzy c-means algorithm is proposed for finding suspicious objects. Furthermore, we use Gaussian mixture models to model the suspicious object's visual properties so that it can be accurately segmented from videos. After analyzing its subsequent motion features, different abnormal events like robbery can be effectively detected from videos. Experiment results have proved that the proposed method is robust, accurate, and powerful in abnormal event detection.

原文???core.languages.en_GB???
主出版物標題2008 IEEE International Symposium on Circuits and Systems, ISCAS 2008
頁面3546-3549
頁數4
DOIs
出版狀態已出版 - 2008
事件2008 IEEE International Symposium on Circuits and Systems, ISCAS 2008 - Seattle, WA, United States
持續時間: 18 5月 200821 5月 2008

出版系列

名字Proceedings - IEEE International Symposium on Circuits and Systems
ISSN(列印)0271-4310

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???event.eventtypes.event.conference???2008 IEEE International Symposium on Circuits and Systems, ISCAS 2008
國家/地區United States
城市Seattle, WA
期間18/05/0821/05/08

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