Single Object Tracking System By Using Labview

Abstract

Moving object detection is an interesting area in the field of video tracking. When the object is moving then tracking that is challenging task in vision area. This paper is about detecting, tracking of moving objects from the source. Many image processing methods to detect and track the moving object from the source was proposed, but those methods require more time to implement and is complex. This paper gives information about the moving object detection based on the tracking mean shift algorithm. LABVIEW vision module introduces a recent algorithm for object detection and tracking, in this algorithm current location is searched based on the histogram of the object in the previous image frame and result of mean shift is used to find the peak of probability density function near the object old position. Initial location of the target object need to be determined for this to work correctly. Mean shift is an effective algorithm that has so many application especially in the field of computer vision like clustering, object contour detection etc.