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Summary:
100084
E-mail: ahz@mail.tsinghua.edu.cn
Cascade Adaboost
Adaboost
TP391
Real-time Robust Automatic Eye State Classification
LI Zhaorong, AI Haizhou
Department of Computer Science and Technology, Tsinghua University, Beijing, 100084
E-mail: ahz@mail.tsinghua.edu.cn
Abstract: In this paper, we discuss the problem of automatic human eye state classification. A
new classification framework based on a global scan and verification strategy is proposed. This
method employs a cascade structure to organize a series of eye state classifiers trained by
Adaboost. Experiments over a large dataset show that proposed system reaches a good
performance in robustness, correctness and speed, which has significant value in real applications.
Key Words: Eye state classification; Global scan and verification; Adaboost; Cascade
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