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Proceedings Paper

Implementation of the DMV-based 3D target tracking and monitoring system
Author(s): Jung-Hwan Ko; Jung-Suk Lee
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Paper Abstract

In this paper, a new 3D object tracking system using the disparity motion vector (DMV) is presented. In the proposed method, the time-sequential disparity maps are extracted from the sequence of the stereo input image pairs and these disparity maps are used to sequentially estimate the DMV defined as a disparity difference between two consecutive disparity maps similarly to motion vectors in the conventional video signals, the DMV provides us with motion information of a moving target by showing a relatively large change in the disparity values in the target areas. Accordingly, this DMV helps detect the target area and its location coordinates. Based on these location data of a moving target, the pan/tilt embedded in the stereo camera system can be controlled and consequently achieve real-time stereo tracking of a moving target. From the results of experiments with 9 frames of the stereo image pairs having 256x256 pixels, it is shown that the proposed DMV-based stereo object tracking system can track the moving target with a relatively low error ratio of about 3. 5 % on average.

Paper Details

Date Published: 24 August 2006
PDF: 11 pages
Proc. SPIE 6312, Applications of Digital Image Processing XXIX, 63121I (24 August 2006); doi: 10.1117/12.678773
Show Author Affiliations
Jung-Hwan Ko, Incosys Co., Ltd. (South Korea)
Jung-Suk Lee, Inha Technical College (South Korea)


Published in SPIE Proceedings Vol. 6312:
Applications of Digital Image Processing XXIX
Andrew G. Tescher, Editor(s)

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