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Detection of Abnormal Event in Complex Situations Using Strong Classifier Based on BP Adaboost

Abstract : In order to recognize the abnormal event, such as emergency or panic, happened in public scenes timely, an algorithm based on features extraction and BP Adaboost to detect abnormal frame event from surveillance video of complex situation is proposed. The proposed method detects an abnormal event where people are running, and this panic situation is simulated by the frame in a video. Experiments show that the method can distinguish and detect the abnormal event effectively and efficiently, which has potentiality to be used in the real public monitoring.
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Conference papers
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https://hal-utt.archives-ouvertes.fr/hal-03320653
Contributor : Jean-Baptiste Vu Van Connect in order to contact the contributor
Submitted on : Monday, August 16, 2021 - 11:36:11 AM
Last modification on : Wednesday, October 13, 2021 - 7:16:03 PM

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Yuqi Zhang, Tian Wang, Meina Qiao, Aichun Zhu, Ce Li, et al.. Detection of Abnormal Event in Complex Situations Using Strong Classifier Based on BP Adaboost. ICIC 2016: Intelligent Computing Theories and Application, Aug 2016, Lanzhou, China. pp.245-256, ⟨10.1007/978-3-319-42294-7_21⟩. ⟨hal-03320653⟩

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