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Spatiotemporal segmentation and tracking of objects in color image sequences

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3 Author(s)
Kompatsiaris, I. ; Dept. of Electr. & Comput. Eng., Aristotelian Univ. of Thessaloniki, Greece ; Mantzaras, G. ; Strintzis, M.G.

In this paper a procedure is described for the segmentation and tracking of objects in color image sequences. For this purpose, we propose the novel procedure of K-Means with a connectivity constraint algorithm as a general segmentation algorithm combining several types of information including color, motion and compactness. 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 in real image sequences evaluate the performance of the algorithm

Published in:

Circuits and Systems, 2000. Proceedings. ISCAS 2000 Geneva. The 2000 IEEE International Symposium on  (Volume:5 )

Date of Conference:

2000