NDLI: Applying centroid based adjustment to kernel based object tracking for improving localization

Content Provider	IEEE Xplore Digital Library
Author	Mehmood, R. Ali, M.U. Taj, I.A.
Copyright Year	2009
Description	Author affiliation: Centre of Advance Studies in Engineering (CASE), Pakistan (Ali, M.U.) \|\| Muhammad Ali Jinnah University (MAJU), Pakistan (Mehmood, R.; Taj, I.A.)
Abstract	In recent studies kernel based object tracking (KBOT) using Bhattacharya coefficient as similarity measure is shown to be robust and efficient object tracking technique. Image histogram provides a compact summarization of the distribution of data in an image. Due to computational efficiency; histogram has been successfully applied in KBOT based tracking algorithms. However without spatial or shape information, similar objects of different color may be indistinguishable based solely on histogram comparisons. The application of meanshift algorithm (the core of KBOT) on 1-D low level features of histogram may converge to false local maxima and cause inaccuracy of target localization. In this paper we presented a robust and efficient tracking approach using structural features along with histogram based Bhattacharya coefficient similarity measure for tracking non rigid objects. It is proposed that integrating the edge based target information as post processing step for updating estimated mean shift centroid in KBOT improves the localization problem. Experimental results show the updated algorithm has achieve more precise tracking results as compared to original kernel based object tracking
Starting Page	209
Ending Page	214
File Size	902406
Page Count	6
File Format	PDF
ISBN	9781424446087
DOI	10.1109/ICICT.2009.5267188
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-08-15
Publisher Place	Pakistan
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Kernel Target tracking Histograms Robustness Convergence Computational efficiency Shape Traffic control Surveillance Intelligent vehicles
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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