OBJECT TRACKI NG I N VI DEO PI CTURES BASED ON DWT AND RANDON TRANSFORM FEATURES 1 International Journal of Computational Science, Mathematics and Engineering Volume 1, Issue 1, July 2014 ISSN(online): 2349-8439 Copyright-IJCSME Object Tracking I n Video Pictures Based On Dwt And Randon Transform Features K Jayaraj 1 M.Tech Student Department of ECE NBKRIST, Vakadu Nellore(Dist).A.P Dr.P.Mohanaiah 2 Professor Department of ECE NBKRIST, Vakadu Nellore(Dist).A.P V Purandhar Reddy 3 Associate Professor Department of ECE S V College of Engineering Tirupati-517501 ABSTRACT In this paper, a novel algorithm for moving object tracking based on DWT and Randon transform feature vectors has proposed. The position vector of an object in first frame of a video has been extracted based on selection of region of interest. Based on position vector in first frame object direction has shown in nine different directions. We extract nine position vectors for nine different directions. With these position vectors next frame is cropped into nine blocks. We exploit block matching of the first frame with nine blocks of the next frame in a simple feature space by Descrete wavelet transform and randon transform. The matched block is considered as tracked object and its position vector is a reference location for the next successive frame. We describe performance evaluation and algorithm in detail to perform simulation experiments of object tracking using different feature vectors which verifies the tracking algorithm efficiency. Keywords: Object Tracking, DWT, RT, Feature Vector, Block Matching. 1. I NTRODUCTI ON The moving object tracking in video pictures has attracted a great deal of interest in computer vision. For object recognition, navigation systems and surveillance systems, object tracking is an indispensable first-step. The conventional approach to object tracking is based on the difference between the current image and the background image. However, algorithms based on the difference image cannot simultaneously detect still objects. Furthermore, they cannot be applied to the case of a moving camera. Algorithms including the camera motion information have been proposed previously, but, they still contain problems in separating the information from the background. In this paper, we propose object tracking in video pictures based on position vectors. Our algorithm is based on position vector calculation and block matching by feature vectors .The proposed method for tracking uses block matching between successive frames. As a consequence, the algorithm can simultaneously track multiple moving and still objects in video pictures. This paper is organized as follows. The proposed method consisting of stages position vector calculation, feature extraction by different transforms, block matching and minimum distance measure which are described in detail. 2. PROPOSED MOVI NG OBJECT TRACKI NG TECHNI QUE 2.1 Extraction of Position Vectors 2.1.1 First Frame position vector extraction