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Information, Intelligence, and Systems, International Conference on (1999)
Rockville, Maryland
Mar. 31, 1999 to Apr. 3, 1999
ISBN: 0-7695-0446-9
pp: 527
Stefanos Kollias , National Technical University of Athens
Klimis Ntalianis , National Technical University of Athens
Nikolaos Doulamis , National Technical University of Athens
Anastasios Doulamis , National Technical University of Athens
ABSTRACT
In this paper, we present an efficient technique for unsupervised semantically meaningful object segmentation of stereoscopic video sequences. By this technique we achieve to extract semantic objects using the additional information a stereoscopic pair of frames provides. Each pair is analyzed and the disparity field, occluded areas and depth map are estimated. The key algorithm, which is applied on the stereo pair of images and performs the segmentation, is a powerful low-complexity multi-resolution implementation of the RSST algorithm. Color segment fusion is employed using the depth segments as a kind of constraints. Finally experimental results are presented which demonstrate the high-quality of semantic object segmentation this technique achieves.
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CITATION
Stefanos Kollias, Klimis Ntalianis, Nikolaos Doulamis, Anastasios Doulamis, "Unsupervised Semantic Object Segmentation of Stereoscopic Video Sequences", Information, Intelligence, and Systems, International Conference on, vol. 00, no. , pp. 527, 1999, doi:10.1109/ICIIS.1999.810342
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