An appearance-based approach to assistive identity inference using LBP and colour histograms

Shirazi, Sareh Abolahrari, Dadgostar, Farhad and Lovell, Brian C. (2011). An appearance-based approach to assistive identity inference using LBP and colour histograms. In: Computer Vision - ACCV 2010 Workshops - ACCV 2010 International Workshops, Revised Selected Papers. International Workshops on Computer Vision, ACCV 2010, Queenstown, New Zealand, (236-245). 8-9 November 2010. doi:10.1007/978-3-642-22822-3_24


Author Shirazi, Sareh Abolahrari
Dadgostar, Farhad
Lovell, Brian C.
Title of paper An appearance-based approach to assistive identity inference using LBP and colour histograms
Conference name International Workshops on Computer Vision, ACCV 2010
Conference location Queenstown, New Zealand
Conference dates 8-9 November 2010
Proceedings title Computer Vision - ACCV 2010 Workshops - ACCV 2010 International Workshops, Revised Selected Papers   Check publisher's open access policy
Journal name Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)   Check publisher's open access policy
Series Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Place of Publication Heidelberg, Germany
Publisher Springer
Publication Year 2011
Year available 2011
Sub-type Fully published paper
DOI 10.1007/978-3-642-22822-3_24
Open Access Status Not yet assessed
ISBN 9783642228216
ISSN 0302-9743
1611-3349
Volume 6468 LNCS
Issue PART1
Start page 236
End page 245
Total pages 10
Language eng
Abstract/Summary Robust identity inference is one of the biggest challenges in current visual surveillance systems. Although, face is an important biometric for generic identity inference, it is not always accessible in video-based surveillance systems due to the poor quality of the video or ineffective viewpoints where the captured face is not clearly visible. Hence, taking advantage of additional features to increase the accuracy and reliability of these systems is an increasing need. Appearance and clothing are potentially suitable for visual identification and tracking suspects. In this research we present a novel approach for recognition of upper body clothing, using local binary patterns (LBP) and colour information, as an assistive tool for identity inference.
Subjects 2614 Theoretical Computer Science
1700 Computer Science
Keyword Colour Histogram
Ensemble-Learning
Local Binary Patterns
Object Recognition
Q-Index Code E1
Q-Index Status Provisional Code
Institutional Status UQ

Document type: Conference Paper
Sub-type: Fully published paper
Collection: School of Information Technology and Electrical Engineering Publications
 
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Created: Fri, 22 Dec 2017, 22:35:40 EST