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Experimental analysis of Mean shift method of tracking objects

S.M.R. Devi1

Section:Research Paper, Product Type: Journal Paper
Volume-4 , Issue-11 , Page no. 7-12, Nov-2016

Online published on Nov 29, 2016

Copyright © S.M.R. Devi . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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IEEE Style Citation: S.M.R. Devi, “Experimental analysis of Mean shift method of tracking objects,” International Journal of Computer Sciences and Engineering, Vol.4, Issue.11, pp.7-12, 2016.

MLA Style Citation: S.M.R. Devi "Experimental analysis of Mean shift method of tracking objects." International Journal of Computer Sciences and Engineering 4.11 (2016): 7-12.

APA Style Citation: S.M.R. Devi, (2016). Experimental analysis of Mean shift method of tracking objects. International Journal of Computer Sciences and Engineering, 4(11), 7-12.

BibTex Style Citation:
@article{Devi_2016,
author = { S.M.R. Devi},
title = {Experimental analysis of Mean shift method of tracking objects},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {11 2016},
volume = {4},
Issue = {11},
month = {11},
year = {2016},
issn = {2347-2693},
pages = {7-12},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=1096},
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=1096
TI - Experimental analysis of Mean shift method of tracking objects
T2 - International Journal of Computer Sciences and Engineering
AU - S.M.R. Devi
PY - 2016
DA - 2016/11/29
PB - IJCSE, Indore, INDIA
SP - 7-12
IS - 11
VL - 4
SN - 2347-2693
ER -

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Abstract

Real time object tracking is a perplexing task in computer vision. Many algorithms exist in literature like Mean shift, background-weighted histogram (BWH) and Corrected background-weighted histogram(CBWH) for tracking the moving objects in a video sequence.This paper attempts to do the comparative analysis of the three methods in terms of performance parameters like Normalised Centroid Distance , Overlap and number of iterations using two types of features i.e., color histogram and color texture histogram. Experimental results show that the performance of CBWH gives better performance when compared with basic Mean shift and BWH.

Key-Words / Index Term

Object Tracking, Mean Shift Algorithm, Target Feature Modelling, Candidate Feature Modelling, Bhattacharya Coefficients

References

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