文献类型： 会议论文
第一作者： Mabrouka Hagui
作者： Mabrouka Hagui 1 ; Ahmed Boukhris 1 ; Mohamed Ali Mahjoub 1 ;
作者机构： 1.SAGE Research Unit, ENISo School of Engineers of Sousse, University of Sousse
关键词： Camera Tampering;Detection;Occulusion;Defocus;Motion
会议名称： International Conference on Computer Graphics, Imaging and Visualization
主办单位：
页码： 226-231
摘要： Recently the use of video surveillance systems is widely increasing. Different places are equipped by camera surveillances such as hospitals, schools, airports, museums and military places in order to ensure the safety and security of the persons and their property. Therefore it becomes significant to guarantee the proper working of these systems. Intelligent video surveillance systems equipped by sophisticated digital camera can analyze video information's and automatically detect doubtful actions. The camera tampering detection algorithms may indicate that accidental or suspicious activities have occurred and that causes the abnormality works of the video surveillance. It uses several techniques based on image processing and computer vision. In this paper, comparative study of performance of four algorithms that can detect abnormal disturbance for video surveillance is presented also a new proposed method is exposed.
分类号： TP391.41-53
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