A new approach using Camshift Algorithm for multiple Vehicle Tracking
Mohammed Mohsin, Huang Jun · 2015
Cameras and video technology have become integral in our day to day lives. Surveillance is one area that has greatly benefited from video technologies. This in turn increases the need for automatic video surveillance algorithms that can track objects and raise alarm if needed. Tracking of people is one such area. On the other hand, CAMSHIFT is a tracking algorithm that has been widely applied in face tracking in the past. It has however not been used in vehicle tracking. This paper therefore presents a modified CAMSHIFT algorithm that can be used in tracking of vehicles in video se- quence. This will be covered in two ways; detection of moving objects of interest from frame to frame then evaluate the performance of our modified CAMSHIFT algorithm on different video sequences. We'll use frame difference to achieve object tracking. The results reveal that.