Automatic color space switching for robust tracking

This paper introduces an algorithm to automatically and continuously select the most appropriate color space to use in order to improve the performances of visual tracking. Eight color spaces are tested, and the Mean-Shift (MS) tracker is considered. The selection of the colorspace is made using an...

Full description

Saved in:
Bibliographic Details
Published in2011 IEEE International Conference on Signal and Image Processing Applications (ICSIPA) pp. 295 - 300
Main Authors Laguzet, F., Gouiffes, M., Lacassagne, L., Etiemble, D.
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.11.2011
Subjects
Color
Colorspace selection
Histograms
Image color analysis
Kernel-based tracking
Mathematical model
Mean-Shift algorithm
Robustness
Switches
Target tracking
Online AccessGet full text

Cover

More Information
Summary:This paper introduces an algorithm to automatically and continuously select the most appropriate color space to use in order to improve the performances of visual tracking. Eight color spaces are tested, and the Mean-Shift (MS) tracker is considered. The selection of the colorspace is made using an evaluation criterion based on the quality of the weights involved in the MS tracking, and implicitly on the good separability between the target and its close background. Experiments on real sequences show the impact of the color space on tracking performances and the relevancy of the proposed selection criterion.
ISBN:9781457702433
1457702436
DOI:10.1109/ICSIPA.2011.6144157