Semantic Video Object Extraction Based on Backward Tracking of Multivalued Watershed
نویسندگان
چکیده
We present a novel algorithm for semantic video object (SVO) extraction, based on a new multivalued morphological spatial segmentation that integrates color and edge information, and object tracking by backward region classi cation. Our proposed spatial segmentation incorporates a new marker extraction method based on intensity edge information that improves the de nition of the real borders of the scene objects, and a new distance criterion based on color and edge information to guide the watershed algorithm. Experimental results on several MPEG-4 test video sequences show that our algorithm improves the precision of the extracted SVO boundaries compared to the traditional watershed technique, and that it is capable of tracking multiple SVOs in static and moving camera scenarios.
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