OPTIMIZATION OF OBJECT TRACKING BASED ON ENHANCED IMPERIALIST COMPETITIVE ALGORITHM

Abstract

Object tracking is one of the most challenging tasks in the field of computer vision. Tracking moving object(s) in video/image frame sequences in cluttered scenes usually results in complications and hence performance degradation. This is attributable to complexity in partial and full object occlusions and scene illumination changes which render object tracking complicated besides the delay in processing of moving images from frame to frame as well as the presence of multiple objects in the video frames under consideration. This paper explores the use of Enhanced Imperialist Competitive Algorithm (EICA) to track moving object(s) in video frames. The results obtained reveal the usefulness of this approach and provide the needed stimulus for further research in the problem domain.