Output details
11 - Computer Science and Informatics
Birmingham City University
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Output 0 of 0 in the submission
Output title
Detection of Deformable Structures in Video by Polynomial Fitting Using an Efficient Hough Transform
Type
E - Conference contribution
Name of conference/published proceedings
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume number
7425
Issue number
n/a
First page of article
396
ISSN of proceedings
1611-3349
Year of publication
2012
Number of additional authors
0
Additional information
<26> This paper presents a novel formulation of the Hough Transform that enables this technique to be applied for more complex shapes, whilst still being computationally efficient enough for application to video sequences. The power of the technique is in its ability to carry out detection even in the presence of cluttered backgrounds and partial occlusion. The developed methods have been integrated within software packages for the analysis of powertrain drivebelts by Pixoft Ltd and used by engineers at DAF Trucks NV in Holland, Ford Turkey, and Nissan in Japan (contact Jimmy Robinson, MD of Pixoft Ltd, info@pixoft.co.uk).
Interdisciplinary
-
Cross-referral requested
-
Research group
2 - Digital Media Technology
Citation count
0
Proposed double-weighted
No
Double-weighted statement
-
Reserve for a double-weighted output
No
Non-English
No
English abstract
-
