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Proceedings Paper

Convergence control of moving object using motion factor and optical correlation method in the stereo vision system
Author(s): Jung-Hwan Ko; Jung-Jin Kim; Eun-Soo Kim
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Paper Abstract

In this paper, a new target extraction algorithm is proposed, in which the coordinates of target are obtained adaptively by using the difference image information and the optical BPEJTC with which the target object can be segmented from the input image and background noises are removed in the stereo vision system. The proposed algorithm, firstly, extracted the target object removing the background noises through the difference image information of the sequential left images and then, control the pan/tilt and convergence angle of the stereo camera by using the coordinates of the target position obtained from the optical BPEJTC between the extracted target image and the input image. From some experimental results, it is found that the proposed algorithm can extract the target object from the input image having the background noises and then, effectively track the target object in real-time. Finally, a possibility of implementation of the adaptive stereo object tracking system by using the proposed algorithm is also suggested.

Paper Details

Date Published: 8 March 2002
PDF: 9 pages
Proc. SPIE 4664, Machine Vision Applications in Industrial Inspection X, (8 March 2002); doi: 10.1117/12.460185
Show Author Affiliations
Jung-Hwan Ko, Kwangwoon Univ. (South Korea)
Jung-Jin Kim, Kwangwoon Univ. (South Korea)
Eun-Soo Kim, Kwangwoon Univ. (South Korea)

Published in SPIE Proceedings Vol. 4664:
Machine Vision Applications in Industrial Inspection X
Martin A. Hunt, Editor(s)

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