eprintid: 4918
rev_number: 2
eprint_status: archive
userid: 1
dir: disk0/00/00/49/18
datestamp: 2023-11-09 16:16:37
lastmod: 2023-11-09 16:16:37
status_changed: 2023-11-09 15:59:54
type: conference_item
metadata_visibility: show
creators_name: Mukhtar, A.
creators_name: Xia, L.
title: Target tracking using color based particle filter
ispublished: pub
keywords: Algorithms; Color; Graphic methods; Lighting; Monte Carlo methods; Signal filtering and prediction; Statistical methods; Surface discharges; Video streaming, Background subtraction; Chrominance histograms; Computationally efficient; Corner point; histogram; occlusion; Particle filter; Qualitative evaluations, Target tracking
note: cited By 7; Conference of 2014 5th International Conference on Intelligent and Advanced Systems, ICIAS 2014 ; Conference Date: 3 June 2014 Through 5 June 2014; Conference Code:107042
abstract: A robust and efficient visual target tracking algorithm using particle filtering is proposed. Particle filtering has been proven very successful in estimating non-Gaussian and non-linear problems. In this paper, particle filter with color feature estimated the target state with time. Color feature being scale and rotational invariant, have showed robustness to partial occlusion and computationally efficient. The performance is made more robust by choosing the different (YIQ) color scheme. Tracking has been performed by comparison of chrominance histograms of target and candidate positions (particles). The Color based particle filter tracking often leads to inaccurate results when light intensity changes during a video stream. Furthermore, background subtraction has been used for size estimation of target. The qualitative evaluation of proposed algorithm is performed on several real world videos. The experimental results demonstrated that the proposed algorithm can track the moving objects well under illumination changes, occlusion and moving background. © 2014 IEEE.
date: 2014
publisher: IEEE Computer Society
official_url: https://www.scopus.com/inward/record.uri?eid=2-s2.0-84906350442&doi=10.1109%2fICIAS.2014.6869447&partnerID=40&md5=eef7de20b8bd402e165a8a83b33586c3
id_number: 10.1109/ICIAS.2014.6869447
full_text_status: none
publication: 2014 5th International Conference on Intelligent and Advanced Systems: Technological Convergence for Sustainable Future, ICIAS 2014 - Proceedings
place_of_pub: Kuala Lumpur
refereed: TRUE
isbn: 9781479946549
citation:   Mukhtar, A. and Xia, L.  (2014) Target tracking using color based particle filter.  In: UNSPECIFIED.