Novel development of fast processing algorithm for the moving object detection in RT videos using histogram orientation gradient method

摘要

Moving object detection in RT videos tracking is an important research area in the field of surveillance mission especially in the high security zones & defense areas. Despite a lot of progress in the field, visual tracking remains a difficult problem due to many challenges as this involves lot of memory, computations & fast processing algorithms. In this research paper, we present a novel methodology of fast processing algorithm for the moving object detection in RT videos using histogram orientation gradient method and using support vector machines. Two cases of videos are being considered for the simulation purposes. The simulation results shows the effectiveness of the methodology adopted by us in the field of video processing of dynamic objects.