Detection of Human Abnormal Behavior of the Ships Security

摘要：

　　The ships security depends on the patrol, which is difficult to ensure ship safety in real-time.In order to secure ship more safety, the intelligent video surveillance technology is applied to the ship.Firstly, the background model is established through codebook algorithm, then the movement target of the human are detected accurately.Secondly, the characteristics of the human body are extracted through HU invariant moments.By similarity matching with the abnormal behavior template and the feature of aspect ratio of the human body, the abnormal behavior of the human body is detected.Finally, the experimental results show that this algorithm can be achieved very well.It has obvious advantages on frame difference algorithm and mixed Gaussian algorithm.In the actual environment of anchoring ship, the abnormal behavior of the human body is detected effectively.

关键词： codebook model HU invariant moments behavior detection abnormal behavior OpenCV

作者: Fengxu Guan Xiaolong Liu Xiangyu Meng

作者单位: College of Automation, Harbin Engineering University, Harbin, 150001, China

会议类型: 国际会议

会议名称: 4th international Conference,ICSI2013(第4届群体智能国际会议)

会议地点: 哈尔滨

会议语种:英文

页码: 224-231

在线出版日期: 2013-06-12（万方平台首次上网日期，不代表论文的发表时间）