Adaptive Colour Feature Identification in Image for Object Tracking

Abstract EN

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.