Active vision
A framework for spatiotemporal control in the tracking of visual contours
International Journal of Computer Vision
Motion recovery for video content classification
ACM Transactions on Information Systems (TOIS) - Special issue on video information retrieval
CVEPS - a compressed video editing and parsing system
MULTIMEDIA '96 Proceedings of the fourth ACM international conference on Multimedia
On fast microscopic browsing of MPEG-compressed video
Multimedia Systems
SPSS for Windows: Base System User's Guide, Release 5.0
SPSS for Windows: Base System User's Guide, Release 5.0
Event Detection from MPEG Video in the Compressed Domain
ICPR '00 Proceedings of the International Conference on Pattern Recognition - Volume 1
Pattern Classification (2nd Edition)
Pattern Classification (2nd Edition)
Requirements for motion-estimation search range in MPEG-2 coded video
IBM Journal of Research and Development
A stable vision system for moving vehicles
IEEE Transactions on Intelligent Transportation Systems
IEEE Transactions on Intelligent Transportation Systems
Noise adaptive soft-switching median filter
IEEE Transactions on Image Processing
A highly efficient system for automatic face region detection in MPEG video
IEEE Transactions on Circuits and Systems for Video Technology
Accurate speed and density measurement for road traffic in India
Proceedings of the 3rd ACM Symposium on Computing for Development
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With low computation cost, motion vectors can be readily extracted from MPEG video streams and processed to estimate vehicle motion speed. A statistical model is proposed to model vehicle speed and noise. In order to achieve high estimation accuracy and also study the limitations of the proposed algorithm, we quantitatively evaluated four parameters used in our algorithm: temporal filter window size T, video resolution R v (CIF/QCIF), motion vector frame distance m, and video bit-rates. Our experiments showed that the mean vehicle speed can be estimated with high accuracy, up to 85 to 92% by proper spatial and temporal processing. The proposed algorithm is especially suitable for Skycam-based application, where the traditional tracking-based or virtual-loop-based approaches perform poorly because of their requirements of high-resolution images. Although extensive work has been done in extracting motion information directly from MPEG video data in compressed domain, to our best knowledge, this paper is the very first work in which stationary motion (speed) of moving objects can be estimated with high accuracy directly from MPEG motion vectors. Furthermore the proposed method is not limited to vehicle speed estimation by nature and it can be applied to other applications where the stationary motion assumption is satisfied.