Dynamic Object Identification Using Background Subtraction and Its Gradual Development
B. Ramesh Naik, N. V. Ramanaiah · 2014
The project proposes efficient dynamic identification and people counting based on background subtraction using dynamic threshold approach with mathematical morphology. Here these different methods are used effectively for object identification and compare these performance based on accurate detection. Here the techniques frame differences, dynamic threshold based detection will be used. After the object foreground detection, the parameters like speed, velocity motion and sensitivity will be manipulated. For this, most of previous methods depend on the assumption that the background is static over short time periods. In dynamic threshold based object detection, morphological process and filtering also used effectively for unwanted pixel removal from the background. The background frame will be updated by comparing the current frame intensities with reference frame. Along with this dynamic threshold, mathematical morphology also used which has an ability of greatly attenuating color variations generated by background motions while still highlighting dynamic objects. Finally the simulated results will be shown that used approximate median with mathematical morphology approach is effective rather than prior background subtraction methods in dynamic texture scenes and performance parameters of moving object such sensitivity, speed and velocity will be evaluated.