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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.
Piyali Deb, Shubhangini Ugale
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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.
Journal URL : http://ijsrst.com/IJSRST184569

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