Multi-sensor approach for people detection

Zhengzhi, Z; Kodagoda, KRS

Multi-sensor approach for people detection

Zhengzhi, Z Kodagoda, KRS

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Publication Type:: Conference Proceeding
Citation:: Proceedings of the 2005 Intelligent Sensors, Sensor Networks and Information Processing Conference, 2005, 2005 pp. 355 - 360
Issue Date:: 2005-12-01

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Field	Value	Language
dc.contributor.author	Zhengzhi, Z	en_US
dc.contributor.author	Kodagoda, KRS https://orcid.org/0000-0001-5175-9138	en_US
dc.date.issued	2005-12-01	en_US
dc.identifier.citation	Proceedings of the 2005 Intelligent Sensors, Sensor Networks and Information Processing Conference, 2005, 2005 pp. 355 - 360	en_US
dc.identifier.isbn	0780393996	en_US
dc.identifier.isbn	9780780393998	en_US
dc.identifier.uri	http://hdl.handle.net/10453/2735
dc.description.abstract	Human detection is an important research topic for many researchers who are working with surveillance, safe driving, military and security applications. It is now becoming more and more appropriate with the global increase in the terrorism related activities. This paper presents an algorithm for people detection using information gathered from a composite moving sensor incorporating a camera and a laser range finder. Laser range finder is used to identify a region of interest (ROI) where a moving object is likely to be present. Corresponding ROI in the visual image is then analyzed and a hierarchical template matching strategy is used to confirm the presence of a moving human. This approach improves the robustness of the template matching and the computational efficiency as the matching is only done in the resized ROI. The proposed strategy is evaluated through experimentation. © 2005 IEEE.	en_US
dc.relation.ispartof	Proceedings of the 2005 Intelligent Sensors, Sensor Networks and Information Processing Conference	en_US
dc.title	Multi-sensor approach for people detection	en_US
dc.type	Conference Proceeding
utslib.citation.volume	2005	en_US
utslib.for	0902 Automotive Engineering	en_US
dc.location.activity	Melbourne, Australia	en_US
dc.location.activity	Univ Technol, Sydney, AUSTRALIA
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 Mechanical and Mechatronic Engineering
pubs.organisational-group	/University of Technology Sydney/Strength - CAS - Centre for Autonomous Systems
utslib.copyright.status	closed_access
pubs.publication-status	Published	en_US
pubs.volume	2005	en_US

Abstract:

Human detection is an important research topic for many researchers who are working with surveillance, safe driving, military and security applications. It is now becoming more and more appropriate with the global increase in the terrorism related activities. This paper presents an algorithm for people detection using information gathered from a composite moving sensor incorporating a camera and a laser range finder. Laser range finder is used to identify a region of interest (ROI) where a moving object is likely to be present. Corresponding ROI in the visual image is then analyzed and a hierarchical template matching strategy is used to confirm the presence of a moving human. This approach improves the robustness of the template matching and the computational efficiency as the matching is only done in the resized ROI. The proposed strategy is evaluated through experimentation. © 2005 IEEE.

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http://hdl.handle.net/10453/2735