Object Tracking by Corrected Background-Weighted Histogram Mean Shift with Sum of Gradient Mode

DOI

10.2991/iccsee.2013.524How to use a DOI?

Keywords

object tracking, mean shift, background information, sum of gradient mode

Abstract

With a focus on complex environments, the present paper describes a new algorithm in scale changed object tracking through color feature. Mean shift (MS) iterative procedure is the best color-based algorithm to find the location of an object. The algorithm performance is not acceptable once tracking scale changed objects in complex environments. In this paper, the main aim is to improve the MS method, using corrected background-weighted histogram (CBWH) algorithm to reduce the interference of background in target localization. To fit the object scale change, the sum of gradient mode (SGM) is employed. The experimental results show that the proposed method is superior to the traditional mean shift tracking in the following aspects: 1) it provides consistent object tracking throughout the video; 2) it is not influenced by the tracked objects scale changes; 3) it is less prone to the background clutter.

Copyright

© 2013, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Yu Yang
AU  - Yongxing Jia
AU  - Chuanzhen Rong
AU  - Lijuan Wang
AU  - Yuan Wang
AU  - Ying Zhu
AU  - Zhenjun Yue
PY  - 2013/03
DA  - 2013/03
TI  - Object Tracking by Corrected Background-Weighted Histogram Mean Shift with Sum of Gradient Mode
BT  - Proceedings of the 2nd International Conference on Computer Science and Electronics Engineering (ICCSEE 2013)
PB  - Atlantis Press
SP  - 2081
EP  - 2085
SN  - 1951-6851
UR  - https://doi.org/10.2991/iccsee.2013.524
DO  - 10.2991/iccsee.2013.524
ID  - Yang2013/03
ER  -