Boosting face identification in airports

Please use this identifier to cite or link to this item: https://scholarbank.nus.edu.sg/handle/10635/78047

DC Field	Value
dc.title	Boosting face identification in airports
dc.contributor.author	Jimmy, L.J.
dc.contributor.author	Loe, K.-F.
dc.date.accessioned	2014-07-04T03:11:48Z
dc.date.available	2014-07-04T03:11:48Z
dc.date.issued	2003
dc.identifier.citation	Jimmy, L.J.,Loe, K.-F. (2003). Boosting face identification in airports. IJCAI International Joint Conference on Artificial Intelligence : 1503-1504. ScholarBank@NUS Repository.
dc.identifier.issn	10450823
dc.identifier.uri	http://scholarbank.nus.edu.sg/handle/10635/78047
dc.description.abstract	Robust face identification system in complex airport environment, which can identify certain candidates from a crowd of people in real time, is in urgent demand. S-AdaBoost is discussed in this paper as a variant of AdaBoost to handle real world environment. The Face Identification System for Airports (F1SA), based upon S-AdaBoost algorithm, is implemented in an international airport. Comparison of results obtained from FISA with those from other leading face identification approaches based on FISA database clearly demonstrates the effectiveness of FISA in real airport environment.
dc.source	Scopus
dc.type	Conference Paper
dc.contributor.department	COMPUTER SCIENCE
dc.description.sourcetitle	IJCAI International Joint Conference on Artificial Intelligence
dc.description.page	1503-1504
dc.identifier.isiut	NOT_IN_WOS
Appears in Collections:	Staff Publications

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