Extended target correlation tracking algorithm based on moment invariants in complex environment

A new correlation algorithm for tracking extended target in complex environment is proposed in this paper. The moment invariants are chosen as the tracking feature since the size, shape and orientation of the extended target would change distinctly during movement. The improved dynamic threshold segmentation is introduced to remove edges of the background within the tracking window. Then we calculate the moment invariants based on edge region of the local target, through which the computation quantity is reduced drastically. Based on these moment invariants, a new fast correlation algorithm is proposed, in which the multistage and subsample are adopted to improve the matching efficiency. Experimental results indicated the validity and stability of our algorithm for tracking the extended target in the conditions of complex environment, high noise, rotation and size variance.