doi: 10.4304/jsw.8.12.3029-3034
A VSS Algorithm based on Multiple Features for Object Tracking
2Department of Management, North China Institute of Science and Technology, Sanhe, 065201 China
Abstract—A variable search space (VSS) approach according to the color feature combined with point feature for object tracking is presented. Mean shift is a wellestablished and fundamental algorithm that works on the basis of color probability distributions, and is robust to given color targets. As it solely depends upon back projected probabilities, it may miss the targets because of illumination and noise. To overcome the flaw, we proposes VSS algorithm based on the color and robust feature of the detected object. The proposed algorithm can solve the problem that the color of the detected object is similar to the background, and achieve better real-time tracking due to change the search window’s size. Experimental work demonstrates that the presented method is robust and computationally effective.
Index Terms—Meanshift, Scale Invariant Feature Transform, target tracking, variable search space.
Cite: Bin Xu, Xiaoju Shen, Feiji Ding, "A VSS Algorithm based on Multiple Features for Object Tracking," Journal of Software vol. 8, no. 12, pp. 3029-3034, 2013.
General Information
ISSN: 1796-217X (Online)
Abbreviated Title: J. Softw.
Frequency: Quarterly
APC: 500USD
DOI: 10.17706/JSW
Editor-in-Chief: Prof. Antanas Verikas
Executive Editor: Ms. Cecilia Xie
Abstracting/ Indexing: DBLP, EBSCO,
CNKI, Google Scholar, ProQuest,
INSPEC(IET), ULRICH's Periodicals
Directory, WorldCat, etcE-mail: jsweditorialoffice@gmail.com
-
Oct 22, 2024 News!
Vol 19, No 3 has been published with online version [Click]
-
Jan 04, 2024 News!
JSW will adopt Article-by-Article Work Flow
-
Apr 01, 2024 News!
Vol 14, No 4- Vol 14, No 12 has been indexed by IET-(Inspec) [Click]
-
Apr 01, 2024 News!
Papers published in JSW Vol 18, No 1- Vol 18, No 6 have been indexed by DBLP [Click]
-
Jun 12, 2024 News!
Vol 19, No 2 has been published with online version [Click]