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.
International Journal of Intelligent Systems Technologies and Applications, 2007 Vol.2 No.2/3, pp.102 - 112
Published online: 19 Feb 2007 *Full-text access for editors Access for subscribers Purchase this article Comment on this article