Bidirectional Matching Algorithm for Target Tracking Based on SIFT

Abstract

The SIFT is mainly used to detect the feature points of an image, and achieve a match between two images. Because of its stable ability in matching, it often gets an excellent performance on images match. This paper is mainly to study the performance of the SIFT on moving target tracking, we propose a bidirectional algorithm based on SIFT, and make it automate select the best template when there are many templates in the data base. Our results of the experiments show that the bidirectional matching algorithm we proposed here is more accuracy and stable than the previous unidirectional matching algorithm.