OBJECT TRACKING BASED ON EDGE DETECTION

Abstract

We propose a novel algorithm for object tracking in video pictures, based on edge detection, object extraction and pattern matching.  With the edge detection, we can detect all objects in images no matter whether they are moving or not. Using edge detection results of successive frames, we exploit pattern matching in a simple feature space for tracking of the objects. Consequently, the proposed algorithm can be applied to multiple moving and still objects even in the case of a moving camera. We describe the algorithm in  detail and perform simulation experiments on object tracking which verify the tracking algorithm’s efficiency.