An implementation of Object Tracking using Modified Mean Shift Algorithm

Authors(2) :-Piyali Deb, Shubhangini Ugale

Visual object tracking is a challenging problem in computer vision. To achieve the goal of object tracking we need to obtain a feature vector which is capable of identifying the object to be tracked despite of presence of translation in the view field, at the minimum.The change in scale of the object due to motion along the perpendicular to the line of sight adds to its complexity. In this work we have be able to implement an object tracking system using the MATLAB environment. The system uses the mean shift algorithm, which is based on color channel histogram analysis and the algorithm is modified that it includes the object texture information using the LBP operator. We have been able to enhance the object tracking capability of the system.

Authors and Affiliations

Piyali Deb
Department of Electronics and Comm. Engg / G. H. R.A.E.T., Nagpur, India
Shubhangini Ugale
Department of Electronics and Comm. Engg / G. H. R.A.E.T., Nagpur, India

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Publication Details

Published in : Volume 4 | Issue 8 | May-June 2018
Date of Publication : 2018-06-30
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 202-207
Manuscript Number : IJSRST184569
Publisher : Technoscience Academy

Print ISSN : 2395-6011, Online ISSN : 2395-602X

Cite This Article :

Piyali Deb, Shubhangini Ugale, " An implementation of Object Tracking using Modified Mean Shift Algorithm, International Journal of Scientific Research in Science and Technology(IJSRST), Print ISSN : 2395-6011, Online ISSN : 2395-602X, Volume 4, Issue 8, pp.202-207, May-June-2018. Available at doi : 10.32628/IJSRST184569
Journal URL : http://ijsrst.com/IJSRST184569

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