Cheating Behavior Detection based-on Pictorial Structure Model

摘要：

　　The video surveillance system is widely used in various areas.However,it is an intractable problem to process a large number of video data manually.There are many intelligent systems developed to analyze human behavior and detect unusual events,however,few concerns the cheating behavior in examinations.In this paper,we use video surveillance system to detect cheating behavior in the examination.The pose estimation method is presented to detect the cheating behavior,based on the analysis of the implementation environment.More in detail,the pictorial structure is adopted to model the human body and a required pose and skin color information is utilized to build the human appearance model.Finally,the belief propagation algorithm is used to infer the maximum a posterior pose.The experiment shows the effectiveness of our method.

关键词： pose estimation cheating behavior detection pictorial structure model belief propagation

作者: Le Lv Dongbin Zhao Zhijiang Fan

作者单位: The State Key Laboratory of Management and Control for Complex Systems,Institute of Automation,Chine USTECH(Beijing)Technology Co.Ltd.

会议类型: 国际会议

会议名称: The 33th Chinese Control Conference第33届中国控制会议

会议地点: 南京

会议语种:英文

页码: 7274-7279

在线出版日期: 2014-07-28（万方平台首次上网日期，不代表论文的发表时间）