2009 IEEE International Conference on
Systems, Man, and Cybernetics |
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Abstract
The system selects the features based on the k-means group to predict the possible object from the candidate regions of the images. It is thus able to detect the object with arbitrary shape without the 3D information. The feature optimization procedure makes the object features more stable for recognition and classification. Experimental results are presented for real scene images captured by a catadioptric omni-vision camera.