Digital video processing
A model-based 3-D tracking of rigid objects from a sequence of multiple perspective views
Pattern Recognition Letters
Three dimensional model-based tracking using texture learning and matching
Pattern Recognition Letters - Selected papers from the 11th scandinavian conference on image analysis
A Camera-Based System for Tracking People in Real Time
ICPR '96 Proceedings of the International Conference on Pattern Recognition (ICPR '96) Volume III-Volume 7276 - Volume 7276
Object tracking based on temporal and spatial information
ICASSP '96 Proceedings of the Acoustics, Speech, and Signal Processing, 1996. on Conference Proceedings., 1996 IEEE International Conference - Volume 04
Rapid scene analysis on compressed video
IEEE Transactions on Circuits and Systems for Video Technology
Object tracking for retrieval applications in MPEG-2
IEEE Transactions on Circuits and Systems for Video Technology
An Approach to Trajectory Estimation of Moving Objects in the H.264 Compressed Domain
PSIVT '09 Proceedings of the 3rd Pacific Rim Symposium on Advances in Image and Video Technology
Compressed domain indexing of scalable H.264/SVC streams
Image Communication
Efficient region-of-interest scalable video coding with adaptive bit-rate control
Advances in Multimedia
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Rapid object tracking algorithm is proposed in this paper. The algorithm operates on the DC sequence and motion vectors. Full-frame decompression is not necessary to extract the DC sequence and motion vectors from compressed video sequence, which speeds up the tracking process remarkably. More than one moving objects can be tracked in a video sequence simultaneously. Global motion compensation based on compressed streams is applied to track moving objects whenever there is global motion. Experimental results show that the proposed algorithm is effective in real-time object tracking on MPEG-2 video sequence.