Robust object detection via soft cascade

• Published in: 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) Vol. 2; pp. 236 - 243 vol. 2
• Main Authors: Bourdev, L., Brandt, J.
• Format: Conference Proceeding
• Language: English
• Published: IEEE 2005
• Subjects: Computer vision; Detectors; Face detection; Filters; Neural networks; Object detection; Robustness; Skin
• DOI: 10.1109/CVPR.2005.310
• ISBN: 0769523722; 9780769523729
• ISSN: 1063-6919

We describe a method for training object detectors using a generalization of the cascade architecture, which results in a detection rate and speed comparable to that of the best published detectors while allowing for easier training and a detector with fewer features. In addition, the method allows for quickly calibrating the detector for a target detection rate, false positive rate or speed. One important advantage of our method is that it enables systematic exploration of the ROC surface, which characterizes the trade-off between accuracy and speed for a given classifier.