Title: Yet Even Faster (YEF) real-time object detection

Authors: Yotam Abramson, Bruno Steux, Hicham Ghorayeb

Addresses: Robotics Center, Ecole des Mines de Paris, 60 bvd Saint Michel, 75006 Paris, France. ' Robotics Center, Ecole des Mines de Paris, 60 bvd Saint Michel, 75006 Paris, France. ' Robotics Center, Ecole des Mines de Paris, 60 bvd Saint Michel, 75006 Paris, France

Abstract: We present an improvement to the object detection scheme of Viola and Jones (2004), using the example of face detection. We present a new kind of visual features that is based on sampling individual pixels within the examined sub-window, instead of comparing the sums of pixel values in rectangular regions. Our features are faster and do not demand the preparation of an integral image, nor variance-normalisation of each sub-window. The result is an improved system that detects faces in quarter-PAL images in only 9 milliseconds per image on a 2.4-GHz pentium computer.

Keywords: computer vision; face detection; machine learning; AdaBoost; attentional cascade; automatic learning; real time; object detection.

DOI: 10.1504/IJISTA.2007.012476

International Journal of Intelligent Systems Technologies and Applications, 2007 Vol.2 No.2/3, pp.102 - 112

Available online: 19 Feb 2007 *

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