A Colour Object Search Algorithm

In this paper a colour object search algorithm is presented. Given an image, areas of interest are generated (for each database model) by isolating regions whose colours are similar to model colours. Since the model may exist at one or more of these region locations, each is examined individually. At each region location the object size is estimated and a growing process initiated to include all pixels with model colours. Growing is terminated when a match measure (based on object size and the number of pixels with each model colour) is maximised; if it exceeds a predefined threshold then the object is assumed to be present. Several experiments are presented which demonstrate the algorithm's robustness to scale, affine object distortion, varying illumination, image clutter and occlusion.

• Type: Conference
• Year: 1998
• Where: BMVC
• Authors: Paul A. Walcott, Tim J. Ellis
• Keywords: BMVC 1998, Computer Vision, Model Colour, Object Size, Region Location