OBJECT TRACKING BASED ON MOVING OBJECT DETECTION

Now days in the aggressive field security matters have increases rapidly. That’s why it is necessary of one which is capable to save anyone’s personal estate from damage such as theft, demolition of property, people with awful commitment etc. Hence, it is imperative for the surveillance methodologies to also augment with the developing world. We are using Background Subtraction and Self Organizing Background Subtraction (SOBS) algorithm for moving object detection, Morphological method for tracking of moving object. In Background Subtraction establishing a reliable background updating model based on statistical and use a dynamic optimization threshold method to obtain a more complete moving object. While in SOBS an approach to moving object detection based on neural background model automatically generated by a self-organizing method. Keywords-Background Subtraction, Motion Detection, Neural Network, Self Organization, visual surveillance.

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