Real-Time face detection using integral histogram of multi-scale local binary patterns

Authors:
Sébastien Paris;Hervé Glotin;Zhong-Qiu Zhao
Affiliations:
LSIS/DYNI, Université Aix-Marseille, Marseille Cedex 20, France;LSIS/DYNI, Université Aix-Marseille, Marseille Cedex 20, France;Laboratory of Image Information Processing, Hefei University of Technology, Hefei, Anhui, China
Venue:
ICIC'11 Proceedings of the 7th international conference on Advanced Intelligent Computing
Year:
2011

Citing 6
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Abstract

This paper introduces a novel fast and efficient method for face detection using integral histogram of multi-scale local binary patterns (HMSLBP). Histogram of LBP and its variants are among the state-of-the-art descriptors in vision systems and is very competitive compared to well known Bag-of-SIFT. HMSLBP has the property to be mainly linearly separable and can be trained efficiently with a fast large-scale support vector machine (SVM) solver. The new proposed detector offers a framerate superior to 20 fps in VGA mode with modern computers.