24 August 2006 Implementation of the DMV-based 3D target tracking and monitoring system
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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.
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Jung-Hwan Ko, Jung-Hwan Ko, Jung-Suk Lee, Jung-Suk Lee, } "Implementation of the DMV-based 3D target tracking and monitoring system", Proc. SPIE 6312, Applications of Digital Image Processing XXIX, 63121I (24 August 2006); doi: 10.1117/12.678773; https://doi.org/10.1117/12.678773
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