Please use this identifier to cite or link to this item: http://scholarbank.nus.edu.sg/handle/10635/14198
Title: Ensemble boosting in complex environment and its applications in facial detection and identification
Authors: LIU JIANG, JIMMY
Keywords: Boosting, AdaBoost, S-AdaBoost, Face Detection, Face Identification, Complex Environment
Issue Date: 23-Jul-2004
Source: LIU JIANG, JIMMY (2004-07-23). Ensemble boosting in complex environment and its applications in facial detection and identification. ScholarBank@NUS Repository.
Abstract: The Adaptive Boosting (AdaBoost) algorithm is generally regarded as the first practical boosting algorithm and has gained popularity nowadays. It falls short however in its ability to handle large amount of outliers found in the real world complex environment. New ensemble boosting algorithms, S-AdaBoost, is proposed to improve the outlier handling capability of the current ensemble boosting algorithms in the environment. Face detection and face identification application systems built for the complex airport environment; known as FDAO (Face Detection for Airport Operators) and FISA (Face Identification System for Airports) systems, are developed based on the new algorithms. The performances of these systems are compared with the leading face detection and face identification approaches using airport data and benchmark datasets. The experimental results demonstrate that the S-AdaBoost algorithm is effective in face detection and face identification applications in the complex environment.
URI: http://scholarbank.nus.edu.sg/handle/10635/14198
Appears in Collections:Ph.D Theses (Open)

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