Video Object Tracking Algorithm for Augmented Reality

According to the application requirement of Augmented Reality(AR) in video object tracking,this paper proposes a video object tracking algorithm based on Scale-Invariant Feature Transform(SIFT) operator,K-means clustering algorithm and contour detection.The reduced SIFT is applied to get the feature points from the input image.The K-means clustering algorithm is applied to cluster the object feature points approximatively.The improved contour process is applied to get outlines from the clustered object feature points,removes isolation points and determines the object feature points.The registered point is got from the object feature points set.In the key frame,it only needs to use the object feature points to match the object.Experimental results show that the algorithm is fast and accurate.It can meet the need of AR registering.