SURVEY ON MOVING OBJECT TRACKING AND DETECTION

Abstract

Object tracking is an important component of many computer vision systems. It is widely used in number of fields such as video surveillance, robotics, medical imaging, and human computer interface. To identify and tracking the real time object is important concept in computer vision. In the paper, image processing algorithms are used for tracking a moving video object. The image processing algorithms used are (a)Noisy video generation with real time object motion (b)Video image back ground subtraction (c)Video image these holding (d)Video image region filling(e)Video image height and width calculation (f) Video image center computation (g) Video image and center image over lay. The image processing algorithms are developed initially by Model Based Design Approach using Simulink models of Matlab Tool. Then these algorithms can be implemented on Raspberry Pi device.