Publication Type
Conference Proceeding Article
Version
acceptedVersion
Publication Date
6-2000
Abstract
This paper describes an approach to characterize camera and object motions based on the analysis of spatio temporal image volumes. In the spatio-temporal slices of image volumes, motion is depicted as oriented patterns. We propose a tensor histogram computation algorithm to represent these oriented patterns. The motion trajectories in a histogram are tracked to describe both the camera and object motions. In addition, we exploit the similarity of the temporal slices in a volume to reliably partition a volume into motion tractable units.
Keywords
Motion analysis, Cameras, Image analysis, Image motion analysis, Histograms, Tensile stress, Partitioning algorithms, Indexing, Layout, Algorithm design and analysis
Discipline
Computer Sciences | Numerical Analysis and Scientific Computing | Theory and Algorithms
Research Areas
Intelligent Systems and Optimization
Publication
2000 IEEE Conference on Computer Vision and Pattern Recognition CVPR: Hilton Head, SC, June 15: Proceedings
Volume
2
First Page
768
Last Page
773
ISBN
9780769506623
Identifier
10.1109/CVPR.2000.854952
Publisher
IEEE Computer Society
City or Country
Los Alamitos, CA
Citation
NGO, Chong-wah; PONG, Ting-Chuen; ZHANG, Hong-Jiang; and CHIN, Roland T..
Motion characterization by temporal slices analysis. (2000). 2000 IEEE Conference on Computer Vision and Pattern Recognition CVPR: Hilton Head, SC, June 15: Proceedings. 2, 768-773.
Available at: https://ink.library.smu.edu.sg/sis_research/6377
Copyright Owner and License
Authors
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.
Additional URL
https://doi.org/10.1109/CVPR.2000.854952
