DocumentCode
2883863
Title
Robust tracking method to multiple objects
Author
Suzuki, Jyunya ; Honda, Tatsuya ; Takahashi, Satoru ; Takauji, Hidenori ; Kaneko, Shun´ichi
Author_Institution
Dept. of Intell. Mech. Syst. Eng., Kagawa Univ., Takamatsu, Japan
fYear
2011
fDate
7-10 Nov. 2011
Firstpage
4532
Lastpage
4535
Abstract
Recently, tracking method to moving objects on time-series images has an important key role in the field of image processing, for example, medical recognition field or measurement system device. In this paper, we propose new robust tracking method to multiple moving objects based on orientation code matching with extended Kalman filter. Our method can be applied to illumination change and object shape change. Through some experiments, we show utilities of our method.
Keywords
Kalman filters; image matching; lighting; nonlinear filters; object tracking; time series; video coding; extended Kalman filter; illumination change; image processing; measurement system device; medical recognition field; object shape change; orientation code matching; robust tracking method; time-series images; video image processing method; Kalman filters; Lighting; Proposals; Robustness; Search problems; Shape; Tracking;
fLanguage
English
Publisher
ieee
Conference_Titel
IECON 2011 - 37th Annual Conference on IEEE Industrial Electronics Society
Conference_Location
Melbourne, VIC
ISSN
1553-572X
Print_ISBN
978-1-61284-969-0
Type
conf
DOI
10.1109/IECON.2011.6120056
Filename
6120056
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