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Video Surveillance Using Moving Camera

P. Shinde Sarita

Abstract


In the typical surveillance system there are many problems like continuous monitoring human error like persistence of vision etc. so to avoid these disadvantages and to improve the security we need intelligent security system. In the previous video surveillance system we used the static camera and it is used to find the moving objects. These moving objects were found out from the video. The algorithm continuously compares the reference image with changing image frame. It will compare the images after every 1msec for getting proper result. In this there are four algorithms are used. Out of this voting based motion estimation is advanced.

Keywords


Motion Detection, Auto Updating, Background Change Detection, Blob Detection, RGB to HSV Conversion, Eestimation and Compensation based on Voting.

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References


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