Face detection in complicated backgrounds and different illumination conditions by using YCbCr color space and neural network

Authors:
Chiunhsiun Lin
Affiliations:
National Taipei University, Taipei 10433, Taiwan, ROC
Venue:
Pattern Recognition Letters
Year:
2007

Citing 8
Cited 8

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Frontal-view face detection and facial feature extraction using color, shape and symmetry based cost functions

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Tracking and Learning Graphs and Pose on Image Sequences of Faces

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RATFG-RTS '99 Proceedings of the International Workshop on Recognition, Analysis, and Tracking of Faces and Gestures in Real-Time Systems
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Colour image segmentation using the relative values of RGB

ACE'10 Proceedings of the 9th WSEAS international conference on Applications of computer engineering
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NN'10/EC'10/FS'10 Proceedings of the 11th WSEAS international conference on nural networks and 11th WSEAS international conference on evolutionary computing and 11th WSEAS international conference on Fuzzy systems
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Colour image segmentation in various illumination circumstances

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Appearance-based face detection with artificial neural networks

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A target-based color space for sea target detection

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Skin detection by dual maximization of detectors agreement for video monitoring

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Abstract

This investigation develops an efficient face detection scheme that can detect multiple faces in color images with complex environments and different illumination levels. The proposed scheme comprises two stages. The first stage adopts color and triangle-based segmentation to search potential face regions. The second stage involves face verification using a multilayer feedforward neural network. The system can handle various sizes of faces, different illumination conditions, diverse pose and changeable expression. In particular, the scheme significantly increases the execution speed of the face detection algorithm in the case of complex backgrounds. Results of this study demonstrate that the proposed method performs better than previous methods in terms of speed and ability to handle different illumination conditions.