Robust Gaze-Fixing of an Active Vision System under Variation of System Parameters


KIPS Transactions on Software and Data Engineering, Vol. 1, No. 3, pp. 195-200, Dec. 2012
10.3745/KTSDE.2012.1.3.195, Full Text:

Abstract

To steer a camera is done based on system parameters of the vision system. However, the system parameters when they are used might be different from those when they were measured. As one method to compensate for this problem, this research proposes a gaze-steering method based on LMI(Linear Matrix Inequality) that is robust to variations in the system parameters of the vision system. Simulation results show that the proposed method produces less gaze-tracking error than a contemporary linear method and more stable gaze-tracking error than a contemporary nonlinear method. Moreover, the proposed method is fast enough for realtime processing.


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Cite this article
[IEEE Style]
Y. Han, "Robust Gaze-Fixing of an Active Vision System under Variation of System Parameters," KIPS Transactions on Software and Data Engineering, vol. 1, no. 3, pp. 195-200, 2012. DOI: 10.3745/KTSDE.2012.1.3.195.

[ACM Style]
Youngmo Han. 2012. Robust Gaze-Fixing of an Active Vision System under Variation of System Parameters. KIPS Transactions on Software and Data Engineering, 1, 3, (2012), 195-200. DOI: 10.3745/KTSDE.2012.1.3.195.