PERSON OR OBJECT TRACKING AND VELOCITY ESTIMATION IN REAL TIME VIDEOS

Moving object detection and tracking is often the first step in applications such as video surveillance. The main aim of project moving object detection and tracking system with a static camera has been developed to estimate velocity, distance parameters we propose a general moving object detection and tracking based on vision system using image difference algorithm. This paper focuses on detection of moving objects in a scene for example moving people meeting each other, and tracking and detected people as long as they stay in the scene. This is done by image difference algorithm with matlab software and we could calculate distance, frame per time, velocity .In this paper we estimated the position of moving people and velocity also. This paper describes an algorithm to estimate Moving object velocity using image processing technique from the camera calibration parameters and matlab software. Video surveillance of human activity usually requires people to be tracked. It is important to security purpose and traffic control which is also used to take necessary step for avoid undesired interaction. We present our system for single moving object detection and tracking using a static webcam mounted inside a building that monitors a typical open work area. Object tracking is central to any task related to vision systems. We present a vision system for moving people detection and tracking therefore taking video at no change of illumination area with particular background and in this background such people are moving (6). In the process leading from an acquired image to the information about objects in it, two steps are particularly important: foreground segmentation and tracking (10). In this paper we present a simplified single object detection method based on image difference and a blob matching tracking algorithm that relies only on blob matching information without having to use statistical descriptions to model or predict motion characteristics using matlab software. One of the best software for image processing so we implemented algorithm on matlab. A moving object detection and tracking system with a static camera has been developed to estimate velocity, distance etc. parameters. For that application we presented image difference algorithm which contain subs traction between reference image and no of image also morphological operation, noise removal filter and calculate centroid, velocity and distance of moving object in scene. This article is organized as follows. Section II gives related work on that topic and brief overview of the system, and detailed explanations for each stage in Section III. In Sect. IV, some simulation results of velocity and distance estimation.In sec V describe conclusion of project.