Abstract
Real time object detection and tracking is an impor tant task in various computer vision applications. For robust object tracking the factors like object shape variation, partial and fu ll occlusion, scene illumination variation will cre ate significant problems. We introduce object detection and tracking approach th at combines Prewitt edge detection and kalman filte r. The target object’s representation and the location prediction are the two major aspects for object tracking this can be a chieved by using these algorithms. Here real time object tracking is devel oped through webcam. Experiments show that our trac king algorithm can track moving object efficiently under object deformation, occlusion and can track multiple objects.
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