Non Rigid Object Tracking in Aerial Videos by Combined Snake and Optical flow Technique

Abstract

Tracking of moving objects in video streams with considering different dynamic backgrounds is a challenging problem in a real time dynamic environment. The proposed approach uses an observation model based on optical flow information used to know the displacement of the objects present in the scene. After finding the moving regions in the initial frame, we are applying active contour model (ACM) to track the moving objects in the further frames dynamically. These models have been used as a natural means of incorporating flow information into the tracking. The formulation of the active contour model by incorporating an additional force driven optical flow field improves the tracking speed. This algorithm efficiently works to track for low contrast videos like aerial videos.