Local Binary Patterns for Human Detection on Hexagonal Structure

He, S; Li, J; Chen, Y; Wu, Q; Jia, W

Local Binary Patterns for Human Detection on Hexagonal Structure

He, S

Li, J Chen, Y Wu, Q

Jia, W

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Publisher:: IEEE Computer Society
Publication Type:: Conference Proceeding
Citation:: Proceedings of the 2007 IEEE International Symposium on Multimedia (ISM-07), 2007, pp. 65 - 71
Issue Date:: 2007-01

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Field	Value	Language
dc.contributor.author	He, S https://orcid.org/0000-0001-8962-540X	en_US
dc.contributor.author	Li, J	en_US
dc.contributor.author	Chen, Y	en_US
dc.contributor.author	Wu, Q https://orcid.org/0000-0001-5641-2483	en_US
dc.contributor.author	Jia, W https://orcid.org/0000-0002-0940-3338	en_US
dc.contributor.editor	Bulterman, D	en_US
dc.contributor.editor	Mori, K	en_US
dc.contributor.editor	Tsai, JJPEA	en_US
dc.date	2007-12-10	en_US
dc.date.issued	2007-01	en_US
dc.identifier.citation	Proceedings of the 2007 IEEE International Symposium on Multimedia (ISM-07), 2007, pp. 65 - 71	en_US
dc.identifier.isbn	0-7695-3058-3	en_US
dc.identifier.uri	http://hdl.handle.net/10453/2381
dc.description.abstract	Local Binary Pattern (LBP) was designed and has been widely used for efficient texture classification. LBP provides a simple and effective way to represent texture patterns. Uniform LBPs play an important role for LBP-based pattern/object recognition as they include majority of LBPs. On the other hand, Human detection based on Mahalanobis Distance Map (MDM) recognizes appearance of human based on geometrical structure. Each MDM shows a clear texture pattern that can be classified using LBPs. In this paper, we compute LBPs of MDMs on a hexagonal structure. The circular pixel arrangement in hexagonal structure results in higher accuracy for LBP representation than on square structure. Chi-square as a measure is used for human detection based on uniform LBPs obtained. We show that our method using LBPs built on MDMs has a higher human detection rate and a lower false positive rate compared to the method merely based on MDMs. We will also show using experimental results that LBPs on hexagonal structure lead to more robust human classification.	en_US
dc.publisher	IEEE Computer Society	en_US
dc.relation.ispartof	Proceedings of the 2007 IEEE International Symposium on Multimedia (ISM-07)	en_US
dc.relation.ispartof	IEEE International Symposium on Multimedia	en_US
dc.relation.isbasedon	10.1109/ISM.2007.4412357	en_US
dc.rights	© 2007 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.	en_US
dc.title	Local Binary Patterns for Human Detection on Hexagonal Structure	en_US
dc.type	Conference Proceeding
utslib.location	Los Alamitos, California	en_US
utslib.location.activity	Taichung, Taiwan	en_US
utslib.for	080106 Image Processing	en_US
utslib.for	080104 Computer Vision	en_US
utslib.for	080109 Pattern Recognition and Data Mining	en_US
dc.location.activity	Taichung, Taiwan	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Electrical and Data Engineering
pubs.organisational-group	/University of Technology Sydney/Strength - CRIN - Realtime Information Networks
pubs.organisational-group	/University of Technology Sydney/Strength - GBDTC - Global Big Data Technologies
pubs.organisational-group	/University of Technology Sydney/Strength - INEXT - Innovation in IT Services and Applications
utslib.copyright.status	closed_access
pubs.consider-herdc	true	en_US
pubs.place-of-publication	Los Alamitos, California	en_US
pubs.start-date	2007-12-10	en_US

Abstract:

Local Binary Pattern (LBP) was designed and has been widely used for efficient texture classification. LBP provides a simple and effective way to represent texture patterns. Uniform LBPs play an important role for LBP-based pattern/object recognition as they include majority of LBPs. On the other hand, Human detection based on Mahalanobis Distance Map (MDM) recognizes appearance of human based on geometrical structure. Each MDM shows a clear texture pattern that can be classified using LBPs. In this paper, we compute LBPs of MDMs on a hexagonal structure. The circular pixel arrangement in hexagonal structure results in higher accuracy for LBP representation than on square structure. Chi-square as a measure is used for human detection based on uniform LBPs obtained. We show that our method using LBPs built on MDMs has a higher human detection rate and a lower false positive rate compared to the method merely based on MDMs. We will also show using experimental results that LBPs on hexagonal structure lead to more robust human classification.

Please use this identifier to cite or link to this item:

http://hdl.handle.net/10453/2381