An algorithm for fatigue pattern detection based on parallel Gabor and 1-nearest neighbor

Jun Chen; Yaping Lin; Lei Wang; Zhuoxuan Jiang; Gang Wang

doi:10.1117/12.946090

2 June 2012 An algorithm for fatigue pattern detection based on parallel Gabor and 1-nearest neighbor

Jun Chen, Yaping Lin, Lei Wang, Zhuoxuan Jiang, Gang Wang

Proceedings Volume 8334, Fourth International Conference on Digital Image Processing (ICDIP 2012); 833410 (2012) https://doi.org/10.1117/12.946090
Event: Fourth International Conference on Digital Image Processing (ICDIP 2012), 2012, Kuala Lumpur, Malaysia

Abstract

Driver fatigue is an important reason for traffic accidents. To ameliorate traffic safety, this paper proposes a novel method for fatigue pattern detection which is based on parallel Gabor and 1-Nearest Neighbor (1-NN) algorithm. In the algorithm, parallel Gabor wavelets ssand feature orientation fusion are first employed to get multi-scale orientation fusion image features, since facial features from tired drivers are different from the opposite. Then, during the phase of classification, the multi-scale 1-NN algorithm is used to classify the extracted facial image features for fatigue pattern detection. Experimental results show that the new method can effectively recognize driver fatigue pattern, and the performance of real-time fatigue detection with multiple processors has been improved comparative to single CPU computing environments.

Citation Download Citation

Jun Chen, Yaping Lin, Lei Wang, Zhuoxuan Jiang, and Gang Wang "An algorithm for fatigue pattern detection based on parallel Gabor and 1-nearest neighbor", Proc. SPIE 8334, Fourth International Conference on Digital Image Processing (ICDIP 2012), 833410 (2 June 2012); https://doi.org/10.1117/12.946090

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