Sift-based Camera Tamper Detection For Video Surveillance

摘要：

　　Keeping the camera long time proper functioning without tamper is the fundamentally requirement of a video surveillance system.Traditional camera tamper detection is applied by surveillance system operators.Its large human resource consuming and inefficiency.In this paper,a SIFT-based automatic camera tamper detection algorithm for video surveillance is proposed.When camera tamper occurred,the real-time frame will be large changed.Therefore,a Sift feature based decision function is employed to detect camera tamper.The threshold is carefully chosen to reduce false alarms.Several experiments are conducted to demonstrate the effectiveness and robust of the proposed method.

关键词： video surveillance camera tamper SIFT algorithm covered camera detection moved camera detection

作者: Hongpeng Yin Xuguo Jiao Xianke Luo Chai Yi

作者单位: College of Automation, Chongqing University, Chongqing City, 400044 College of Automation, Chongqing University, Chongqing City, 400044;State Key Laboratory of Power Tr

会议类型: 国际会议

会议名称: the 25th Chinese Control and Decision Conference(第25届中国控制与决策会议)

会议地点: 贵阳

会议语种:英文

页码: 665-668

在线出版日期: 2013-05-01（万方平台首次上网日期，不代表论文的发表时间）