Adaptive Colour Feature Identification in Image for Object Tracking

Feng Su, Gu Fang and Ngai Ming Kwok

Mathematical Problems in Engineering, 2012, vol. 2012, 1-18

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.

Date: 2012
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Persistent link: https://EconPapers.repec.org/RePEc:hin:jnlmpe:509597

DOI: 10.1155/2012/509597

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