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 |
DOI | 10.1109/ChiCC.2014.6896205 |
引用统计 | |
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 |
推荐引用方式 GB/T 7714 | Lv Le,Zhao Dongbin,Fan Zhijiang. Cheating Behavior Detection based-on Pictorial Structure Model[C],2014. |
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