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- W2046773281 abstract "Identification and tracking of a moving object using computer vision techniques is important in robotic surveillance. In this paper, an adaptive colour filtering method is introduced for identifying and tracking a moving object appearing in image sequences. This filter is capable of automatically identifying the most salient colour feature of the moving object in the image and using this for a robot to track the object. The method enables the selected colour feature to adapt to surrounding condition when it is changed. A method of determining the region of interest of the moving target is also developed for the adaptive colour filter to extract colour information. Experimental results show that by using a camera mounted on a robot, the proposed methods can perform robustly in tracking a randomly moving object using adaptively selected colour features in a crowded environment." @default.
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- W2046773281 date "2012-01-01" @default.
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- W2046773281 title "Adaptive Colour Feature Identification in Image for Object Tracking" @default.
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- W2046773281 doi "https://doi.org/10.1155/2012/509597" @default.
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