Content based representation of colour image sequences
نویسندگان
چکیده
In this paper, a procedure is described for the spatiotemporal segmentation and tracking of objects in colour image sequences. For this purpose, we propose the novel procedure of K-Means with connectivity constraint algorithm as a general segmentation algorithm combining several types of information including colour, motion and compactness. A new colour distance is also defined for this algorithm. The regularisation parameters are evaluated automatically using the min-max criterion. In this algorithm, the use of spatiotemporal regions is introduced since a number of frames is analyzed simultaneously and as a result the same region is present in consequent frames. Experimental results on real and synthetic colour data demonstrate the performance of the data.
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