1 January 2001 Contour-based classification of video objects
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Abstract
The recognition of objects that appear in a video sequence is an essential aspect of any video content analysis system. We present an approach which classifies a segmented video object base don its appearance in successive video frames. The classification is performed by matching curvature features of the contours of these object views to a database containing preprocessed views of prototypical objects using a modified curvature scale space technique. By integrating the result of an umber of successive frames and by using the modified curvature scale space technique as an efficient representation of object contours, our approach enables the robust, tolerant and rapid object classification of video objects.
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Stephan Richter, Stephan Richter, Gerald Kuehne, Gerald Kuehne, Oliver Schuster, Oliver Schuster, } "Contour-based classification of video objects", Proc. SPIE 4315, Storage and Retrieval for Media Databases 2001, (1 January 2001); doi: 10.1117/12.410974; https://doi.org/10.1117/12.410974
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