Matching of objects moving across disjoint cameras

Cheng, ED; Piccardi, M

Matching of objects moving across disjoint cameras

Cheng, ED Piccardi, M

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Publication Type:: Conference Proceeding
Citation:: Proceedings - International Conference on Image Processing, ICIP, 2006, pp. 1769 - 1772
Issue Date:: 2006-12-01

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Field	Value	Language
dc.contributor.author	Cheng, ED	en_US
dc.contributor.author	Piccardi, M https://orcid.org/0000-0001-9250-6604	en_US
dc.date.issued	2006-12-01	en_US
dc.identifier.citation	Proceedings - International Conference on Image Processing, ICIP, 2006, pp. 1769 - 1772	en_US
dc.identifier.isbn	1424404819	en_US
dc.identifier.isbn	9781424404810	en_US
dc.identifier.issn	1522-4880	en_US
dc.identifier.uri	http://hdl.handle.net/10453/2455
dc.description.abstract	Matching of single individuals as they move across disjoint camera views is a challenging task in video surveillance. In this paper, we present a novel algorithm capable of matching single individuals in such a scenario based on appearance features. In order to reduce the variable illumination effects in a typical disjoint camera environment, a cumulative color histogram transformation is first applied to the segmented moving object. Then, an incremental major color spectrum histogram representation (IMCSHR) is used to represent the appearance of a moving object and cope with small pose changes occurring along the track. An IMCHSR-based similarity measurement algorithm is also proposed to measure the similarity of any two segmented moving objects. A final step of post-matching integration along the object's track is eventually applied. Experimental results show that the proposed approach proved capable of providing correct matching in typical situations. ©2006 IEEE.	en_US
dc.relation	http://purl.org/au-research/grants/arc/DP0452657
dc.relation.ispartof	Proceedings - International Conference on Image Processing, ICIP	en_US
dc.relation.isbasedon	10.1109/ICIP.2006.312725	en_US
dc.title	Matching of objects moving across disjoint cameras	en_US
dc.type	Conference Proceeding
utslib.for	080104 Computer Vision	en_US
utslib.for	080109 Pattern Recognition and Data Mining	en_US
dc.location.activity	Atlanta, USA	en_US
dc.location.activity	Taipei, TAIWAN
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 - GBDTC - Global Big Data Technologies
utslib.copyright.status	open_access
pubs.publication-status	Published	en_US

Abstract:

Matching of single individuals as they move across disjoint camera views is a challenging task in video surveillance. In this paper, we present a novel algorithm capable of matching single individuals in such a scenario based on appearance features. In order to reduce the variable illumination effects in a typical disjoint camera environment, a cumulative color histogram transformation is first applied to the segmented moving object. Then, an incremental major color spectrum histogram representation (IMCSHR) is used to represent the appearance of a moving object and cope with small pose changes occurring along the track. An IMCHSR-based similarity measurement algorithm is also proposed to measure the similarity of any two segmented moving objects. A final step of post-matching integration along the object's track is eventually applied. Experimental results show that the proposed approach proved capable of providing correct matching in typical situations. ©2006 IEEE.

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