Published Articles >> Table of Contents >> Abstract

15th International Conference on Pattern Recognition (ICPR'00) - Volume 1   p. 1819
Event Detection from MPEG Video in the Compressed Domain
Kyongil Yoon, University of Maryland at College Park
Daniel DeMenthon, University of Maryland at College Park
David Doermann, University of Maryland at College Park

Full Article Text:

DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ICPR.2000.905531
Send link to a friend

Abstract
This paper describes two techniques for detecting dynamic events using the motion vectors obtained from the MPEG video encoding. In the first technique, feature vectors from motion information form a high dimensional curve for a video clip, and curve simplification allows us to browse the clip along portions where interesting events are likely to happen. In the second technique, the camera motion, pan, tilt, and zoom are computed from the motion vectors, and the residual vectors which are not explained by the camera motion are regarded as generated by moving blobs. Events are detected from these moving blobs.
Back to Top Additional Information
Citation:  Kyongil Yoon, Daniel DeMenthon, David Doermann, "Event Detection from MPEG Video in the Compressed Domain," icpr, p. 1819,  15th International Conference on Pattern Recognition (ICPR'00) - Volume 1,  2000