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http://dx.doi.org/10.5207/JIEIE.2003.17.4.106

Tracking ond Distance Measurement of the Moving Object in Stereo Camera System as a Security Equipment  

이재수 (김포대학 전자정보계열)
홍권의 (김포대학 전자정보계열)
손영우 (김포대학 컴퓨터계열)
Publication Information
Journal of the Korean Institute of Illuminating and Electrical Installation Engineers / v.17, no.4, 2003 , pp. 106-115 More about this Journal
Abstract
In crossing stereo camera system as a security equipment system, a new algorithm for the tracking method of the moving object and the measurement method of distance of the object from cameras to moving object is proposed. The stereo input images are matched by a pixel for the moving object extraction, then the moving elements obtained from an adaptive threshold's value for an error correction and the moving object area extracted by noise eliminative algorithm. In addition to, the moving object traced by control pan/tilt of cameras using a coordinate value of the moving object, and the measurement method of distance to moving object by using special features of the crossing stereo camera system is proposed. From the experimental results, the proposed algorithm was found to be able to measure of the distance and trace for moving object in a stereo security camera system. The error rate of a distance measurement be existed within 6%. Moreover in implementation the proposed algorithm, the stereo security system, the automatic moving robot system and the stereo remote control system will be applied practical application.
Keywords
stereo crossing camera; PRA; stereo tracking; moving elements; vergence angle control;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
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1 C. Tam, T.S. Yu, A, Gregory and D. Juday, “Autonomous real time object tracking with an adaptive JTC”, Opt. Eng., vol.29, no.4, pp.314-320, 1990.   DOI
2 D. Marr and T. Poggio, “Computational Theory of Human Stereo Vision”, Proc. of Roy. Soc. London B, vol.204, pp.302-308, 1979.
3 J.S. Lee, J.H. Ko and E.S. Kim, “Real-Time Stereo Object Tracking system by using Block Matching Algorithm and Optical binary phase extraction joint transform correlator”, Optics Communications, vol.191, pp.191-202, 2001.   DOI   ScienceOn
4 J.S. Lee, K.T. Kim, and E.S. Kim, “Autonomous stereo object tracking using motion estimation and JTC”, SPIE, vol.4029, pp.49-58, 2000.   DOI
5 R.C Jane, “Segmentation of frame sequences obtained by a moving observer,” IEEE Trans. PAMI, vol.6, no.5, pp.624-629, 1984.
6 F.T. S. Yu, F. Cheng, T. Nagata and D.A. Gregory, “Efforts of Fringe Binarization of Multiobject Joint Transform Correlator”, Appl. Opt., vol.28, pp.2988-2990, 1989.   DOI
7 E. Izquierdo M., “Disparity/Segmentation Analysis: Matching with an Adaptive Window and Depth-Driven Segmentation”, proc. IEEE trans, Circuits Syst. Videotechnol., vol.9, No.4, pp.589-607, June 1999.   DOI   ScienceOn
8 T.J. Olson and D.J. Coombs, “Real-time vergence control for binocular robots”, Intl. J. of Computer Vision, vol.7, no.1, pp.67-89, 1991.   DOI
9 Y. Mae, S. Yamamoto, Y shirai and J. Miura, “Optical flow based realtime object tracking by active vision system”, Proc. 2nd Japan-France Congress on Mechstronics, vol.2, pp.545-548, 1994.
10 Z. F. Wang and N. Ohnish, “Intensity-based Stereo Vision: from 3-D to 3-D”, SPIE, vol.2, pp.434-443, Nov. 1994.   DOI
11 Yi-MO Zhang, Yu-Wen Qin, Bao-Zhen Ge, Zhan-Hua Huang, and Xi Ming Chen, “Adaptive Moving Object Tracking Using Nonlinear JTC”, SPIE, vol.2778, pp.457-458, 1996.