Visual Tracking System for Target Representation and Localization

Authors(2) :-Sandhya Gopal Alhat, Dr. B. D. Phulpagar

Visual object tracking is the process in which objects in video sequences are tracked. The transformations the target object in motion undergoes like rotation, scale, change in view angle, illumination variations, partial and full occlusion in sequence of video frames have paved way for various representation methods and tracking algorithms. Here in this paper we propose a system for visual object tracking, which offers a representation of the targeted object depending on its appearance that is based on local steering kernel descriptor (LSK) as well as color histogram data. The input for the system is taken as the previous video frame as well as stored instance of object which is targeted. By searching the frame region we try to locate the target object in present frame which best resembles the target object input. The object model stores the instances of the target object and it gets updated as the view of the target object changes over time. The surrounding background as well as color histogram similarity in object which is decoded is utilized for the purpose of background subtraction. Given that the transformations in target object between two consecutive frames are rather small, the implemented system has been proven to be successful in tracking more than one target objects in a video and it also handles the case of full occlusion. We are keeping track of the LSK matrices of pervious frame and comparing it with the LSK matrices of the current frame to detect the target object and used Kalman filter to correct the predicted target object location.

Authors and Affiliations

Sandhya Gopal Alhat
Department of Computer Engineering, P.E.S. Modern College of Engineering, Savitribai Phule, Pune University, Maharashtra, India
Dr. B. D. Phulpagar
Department of Computer Engineering, P.E.S. Modern College of Engineering, Savitribai Phule, Pune University, Maharashtra, India

Color Histograms, Local Steering Kernels, Visual Object Tracking, Kalman Filter.

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Publication Details

Published in : Volume 2 | Issue 6 | November-December 2016
Date of Publication : 2016-12-30
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 584-592
Manuscript Number : IJSRSET1626149
Publisher : Technoscience Academy

Print ISSN : 2395-1990, Online ISSN : 2394-4099

Cite This Article :

Sandhya Gopal Alhat, Dr. B. D. Phulpagar, " Visual Tracking System for Target Representation and Localization, International Journal of Scientific Research in Science, Engineering and Technology(IJSRSET), Print ISSN : 2395-1990, Online ISSN : 2394-4099, Volume 2, Issue 6, pp.584-592, November-December-2016.
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