Research Article Open Access

Moving Object Detection using Temporal Information in Surveillance System using Matlab and ARM7 Processor

Abstract

The detection of real time video and its application is important and challenging task in video surveillance system. This paper gives the detail idea about the automatic detection of moving object by using the temporal information method from the processing of image sequence from the capture video. This method is efficient in segmentation which is useful for real time video surveillance, object tracking and calculation of its properties like autocorrelation, energy, entropy, correlation, Homogeneity etc. By using the implementation of saliency map on the continuous symmetric frame the difference between the adjacent frames generate the full saliency map with higher saliency value .The final meantime gives saliency value generated for background. The calculation of threshold of area is done by the maximum entropy sum method. The Gaussian Mixture Method followed by the shadow is the common method used for extracting the foreground. This method is useful for removal of noise from the detected object .In the background noise is removed by using by pre-processing and Morphological processing.The final image is obtained by the implementation of Fuzzy logic. Then the basic function the detection of target is controlled by ARM7 controller which is used to display the presence of any moving object, human body or animal. Buzzer circuitry is implemented for security purpose. GSM modem provided the massages to the user about the detection of object .So in this proposed model we detect the moving object using the time domain information and different applications with different function are operated for security purpose using ARM 7 controller.

Mrunal Gaikwad, Dr.U.B.Shinde, Prof.K.M.Biradar

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