Visual Object Tracking Algorithm Based on SIFT Features
Qiu Tu · Journal of Shangrao Normal University · 2011
A SIFT feature-based tracking algorithm is proposed by combination of the background modeling method and the feature point-based tracking method.The algorithm obtain the area of the moving object by the background subtraction method,and then matches the objects between the SIFT features of the object in the current frame and the SIFT features of the object in the next frame to realize the object tracking.The algorithm extracts the SIFT features of the moving object region only from the region of the object.Then RANSAC method is used to reduce the mismatched feature points.Experimental results show that this algorithm is efficient.