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
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;
Conference_Titel :
IECON 2011 - 37th Annual Conference on IEEE Industrial Electronics Society
Conference_Location :
Melbourne, VIC
Print_ISBN :
978-1-61284-969-0
DOI :
10.1109/IECON.2011.6120056
