A Review Analysis on Real Time Moving Object Detection and Object Tracking Using Surveillance Systems

Abstract

In this survey paper we present an approach to define the existence of moving object in the video frames and to keep the track of an object’s motion and positioning. A static camera is used to grab the video. Video is actually sequence of images which are known as frames. We can identify the object using different algorithms and tracking can be defined by using different filters. Object detection and tracking can be classified using different properties of that object like color, size, texture, optical flow, edges position, shape, distance etc. Detected object can be of various categories such as humans, vehicles, birds, moving ball and other moving objects. Object tracking is used in several applications such as video surveillance, person identification, robot vision, behavior analysis, security, traffic monitoring, image retrieval, face detection, animation etc. This survey paper basically defines a brief survey of different object detection and tracking techniques using different algorithms.