Abstract
An active stereo-vision system enables a target object to be localized based on passing small disparities without heavy computation to identify the target. However, this simple method is not applicable to situations where a distracting background is included or the target and other objects are simultaneously located in the zero disparity area. Accordingly, to alleviate these problems, the current study combined filtering and foveation, which employs high resolution in the center of the visual field, while suppressing the periphery. An image pyramid and log-polar transformation are compared for the foveated image representation. The stereo disparity of the target is also extracted using projection to maintain a small stereo disparity during tracking. Experiments demonstrated that a log-polar transformation was superior to both the image pyramid and the traditional method for separating a target from a distracting background, and comparatively enhanced the tracking performance.
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Choi, I., Yoon, JG., Lee, YB., Chien, SI. (2003). Stereo System for Tracking Moving Object Using Log-Polar Transformation and Zero Disparity Filtering. In: Petkov, N., Westenberg, M.A. (eds) Computer Analysis of Images and Patterns. CAIP 2003. Lecture Notes in Computer Science, vol 2756. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-45179-2_23
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DOI: https://doi.org/10.1007/978-3-540-45179-2_23
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