| Conference |
| Type of Publication |
| Contour-based Classification of Video Objects |
| Title |
|
|
| Authors |
| Proceedings of SPIE, Storage and Retrieval for Media
Databases, pp.
608-618, San José, CA, January 2001 |
| Published in |
| 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 based on its appearance (object views) 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 results of a number 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. |
| Abstract |
|
video content analysis
video object recognition
shape analysis
curvature scale space
|
| Keywords |
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