Motion Object Detection Using Mean Square Error Method

Authors : Trupti K .Barsagade ,Prof .D. T. Salunke , Punam V. Bitake, Sandhya B. Kendre, Shubhangi J. Kambale.

Volume/Issue : Volume 2 - 2017, Issue 5 - May

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Smart CCTV (Closed-Circuit Television) technology has increasingly been developed in the last few years to judge the situation and notify the administer or take immediate action for security and surveillance motives. Earlier, the Difference Method (FDM),Background Subtraction Method (BSM), and Adaptive Background Subtraction Method (ABSM) is used for motion object detection but these methods could not recognize rapid scene changes or an object does not move relatively for a long time. To solve such problem , we proposed a novel moving object detection method which showed high performance with regard to the MSE(Mean Squared Error ) and the accuracy of detecting the moving object contours compared to other existing methods. It also reduces the time complexity and provides the accuracy .It is also good for observation of many places at the same time with only a single CCTV system.

Keywords : Motion Detection, Video Frame, Background Difference, Embedded system Application.


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