Person Following Control for a Mobile Robot based on Color Invariance Corresponding to Varying Illumination

Shinsuke Oh-hara, Kaoru Saito, Atsushi Fujimori

Abstract


In this paper, we present a method of person following control for a mobile robot using visual information. Color information is often used for object tracking. Color information of objects varies greatly under illumination changing environment. In such condition, the robot controlled by visual information may lose sight of a person. In this paper, we consider a robust person following method by color invariance and image-based control. Color invariance shows robust features of colored objects in terms of changing illumination condition. At first, we estimate lowest positions of both feet of a tracked person through particle filters based on color invariances. Then, we control the velocity of the robot so as to track the person by using the image-based controller. Experimental results using an actual robot demonstrate the effectiveness of the proposed method.

Keywords


Mobile robot; Visual feedback control; Person following control; Image recognition; Particle filter; Color invariance

References


N. Matsuhira, H. Ogawa and T. Yoshimi, "Life Support Robots That Coexist in Harmony with People," Toshiba Review, Vol.60, No.7, pp. 112-115, 2005 (in Japanese).

H. Nakano, Y. Shimowaki, T. Yamanaka and M. Watanabe, "Person Following System for the Autonomous Mobile Robot by Independent Tracking of Left and Right Feet," Journal of the Robotics Society of Japan, Vol.25, No.5, pp.707-716, 2007 (in Japanese).

S. Okusako and S. Sakane, "Human Tracking with a Mobile Robot using a Laser Range-Finder," Journal of the Robotics Society of Japan, Vol.24, No.5, pp.605-613, 2006 (in Japanese).

P. Perez, C. Hue, J. Vermaak and M. Gangnet, "Color-Based Probabilistic Tracking," Proceedings of the European Conference of Computer Vision, pp.661-6 75, 2002.

J. M. del Rincon, , D. Makris and C. O. Urunuela, "Tracking Human Position and Lower Body Parts Using Kalman and Particle Filters Constrained by Human Biomechanics," IEEE Transaction on Systems, Man, and Cybernetics, Vol. 41, No.1, pp. 26-37(2011)

J. M. Geusebroek, R. van den Boomgaard, A. W. M Smeulders and H. Geerts, "Color Invariance," IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 23 no.12 pp. 1338-1350, 2001.

M. Kobayasshi and K. Kameyama, "A Composite Illumination Invariant Color Feature and Its Application to Partial Image Matching," IEICE Transaction Information and Systems, Vol. 95, No. 10, pp.2522-2532, 2012.

W. Matsumoto and K. Kameyama, "Comparison of Hue Feature and Illumination Invariant Color Feature H' in Partial Image Retrieval," IEICE Technical Report, Vol. 112, No. 335, pp.41-46, 2012 (in Japanese).

S. Hutchinson, G. D. Hager and P. I. Corke, "A Tutorial on Visual Servo Control," IEEE Transaction on Robotics and Automation, vol. 12, pp. 651-670, 1996.

K. Kurashiki, J. Nagata and T. Fukao,"Image-based Stabilizing Control of a Nonholonomic Mobile Robot not to Go Beyond Targets", Transactions of the Institute of Systems, Control and Information Engineers, Vol. 25, No. 4, pp. 75-83, 2012 (in Japanese).

Y. Isobe, G. Masuyama and K. Umeda, "Robust Target Detection for Human Following with a Mobile Robot under Varying Illumination Environments," Proceedings of 2014 JSPE Autumn Conference, C15, pp. 163-164, 2014 (in Japanese).




DOI: http://doi.org/10.11591/ijra.v11i1.pp%25p

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