Output details
11 - Computer Science and Informatics
University of Portsmouth
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Output 0 of 0 in the submission
Output title
On-line learning of shape information for object segmentation and tracking
Type
E - Conference contribution
DOI
Name of conference/published proceedings
Proceedings of the 20th British Machine Vision Conference
Volume number
-
Issue number
-
First page of article
1
ISSN of proceedings
-
Year of publication
2009
Number of additional authors
-
Additional information
<23>Object shape tracking in video is challenging. This work proposed a novel first order Markov model to track shapes of deformable objects. The shape similarity matrices have massive potential in improving action recognition since it contains interesting characteristics of object shapes during tracking. As part of the general deformable contour frameworks this work has also led up to the projects on computer vision for traffic safety application funded by Mitsui Sumitomo Welfare Fund in 2010 (J. Chiverton, S. Uttama) and advanced medical image analysis and visualization grant (Prof. John and X. Xie) funded by NISCHR in 2011-2014.
Interdisciplinary
-
Cross-referral requested
-
Research group
None
Citation count
-
Proposed double-weighted
No
Double-weighted statement
-
Reserve for a double-weighted output
No
Non-English
No
English abstract
-
