A Robust Approach to Segment Desired Object Based on Salient Colors
© J. Da Rugna and H. Konik. 2008
Received: 13 September 2007
Accepted: 22 November 2007
Published: 2 December 2007
This paper presents a clustering-based color segmentation method where the desired object is focused on. As classical methods suffer from a lack of robustness, salient colors appearing in the object are used to intuitively tune the algorithm. These salient colors are extracted according to a psychovisual scheme and a peak-finding step. Results on various test sequences, covering a representative set of outdoor real videos, show the improvement when compared to a simple implementation of the same K-means oriented segmentation algorithm with ad hoc parameter setting strategy and with the well-known mean-shift algorithm.
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