Cheating Behavior Detection based-on Pictorial Structure Model
Lv Le1; Zhao Dongbin1; Fan Zhijiang2
2014-09
会议名称The 2014 Chinese Control Conference
会议日期28-30 July 2014
会议地点Nanjing, China
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
DOI10.1109/ChiCC.2014.6896205
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文献类型会议论文
条目标识符http://ir.ia.ac.cn/handle/173211/14473
专题复杂系统管理与控制国家重点实验室_复杂系统智能机理与平行控制团队
作者单位1.The State Key Laboratory of Management and Control for Complex Systems, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China.
2.USTECH(Beijing) Technology Co. Ltd.
第一作者单位中国科学院自动化研究所
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GB/T 7714
Lv Le,Zhao Dongbin,Fan Zhijiang. Cheating Behavior Detection based-on Pictorial Structure Model[C],2014.
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