Please use this identifier to cite or link to this item: http://scholarbank.nus.edu.sg/handle/10635/78047
Title: Boosting face identification in airports
Authors: Jimmy, L.J.
Loe, K.-F. 
Issue Date: 2003
Source: Jimmy, L.J.,Loe, K.-F. (2003). Boosting face identification in airports. IJCAI International Joint Conference on Artificial Intelligence : 1503-1504. ScholarBank@NUS Repository.
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.
Source Title: IJCAI International Joint Conference on Artificial Intelligence
URI: http://scholarbank.nus.edu.sg/handle/10635/78047
ISSN: 10450823
Appears in Collections:Staff Publications

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