Cheating Behavior Detection based-on Pictorial Structure Model
文献类型：会议论文
| 作者 | Lv Le1 ; Zhao Dongbin1; Fan Zhijiang2
|
| 出版日期 | 2014-09 |
| 会议日期 | 28-30 July 2014 |
| 会议地点 | Nanjing, China |
| 关键词 | Pose Estimation Cheating Behavior Detection Pictorial Structure Model Belief Propagation |
| DOI | 10.1109/ChiCC.2014.6896205 |
| 英文摘要 | 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. |
| 源URL | [http://ir.ia.ac.cn/handle/173211/14473]  |
| 专题 | 自动化研究所_复杂系统管理与控制国家重点实验室_智能化团队 |
| 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. |
| 推荐引用方式 GB/T 7714 | Lv Le,Zhao Dongbin,Fan Zhijiang. Cheating Behavior Detection based-on Pictorial Structure Model[C]. 见:. Nanjing, China. 28-30 July 2014. |
入库方式： OAI收割
来源：自动化研究所
浏览0
下载0
收藏0
其他版本
除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。