INCREMENTAL RECOGNITION OF TRAFFIC SITUATIONS FROM VIDEO IMAGE SEQUENCES
This paper describes a video image evaluation system which tracks multiple vehicle configurations in image sequences. These images form the basis for incremental characterization of traffic situations. Knowledge representation and inference is used to provide transition from raw video data to conceptual descriptions of traffic situations.
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Supplemental Notes:
- Publication Date: January 2000
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Corporate Authors:
Universitat Karlsruhe. Fakultat fur Informatik
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Authors:
- Haag, M
- Nagel, H H
- Publication Date: 2000
Language
- English
Media Info
- Pagination: p. 137-153
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Serial:
- Image and vision computing. Vol. 18, no. 2
- Publisher: Universitat Karlsruhe. Fakultat fur Informatik
Subject/Index Terms
Filing Info
- Accession Number: 00791864
- Record Type: Publication
- Source Agency: UC Berkeley Transportation Library
- Files: PATH
- Created Date: May 5 2000 12:00AM