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

Yuqi Zhang (1) , Tian Wang (1) , Meina Qiao (1) , Aichun Zhu (2) , Ce Li (3) , Hichem Snoussi (2)

1 BUAA - Beihang University
2 LM2S - Laboratoire Modélisation et Sûreté des Systèmes
3 School of Civil Engineering, Lanzhou University of Technology

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.

Domains: Signal and Image processing

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⟩