Automatic generation of optimum classification cascades

In this paper, we present a novel technique to automatically generate optimum classification cascades. Given a powerful classifier SF with satisfactory accuracy and a set of N classifiers, our algorithm builds the fastest cascade that achieves an accuracy not less than that of SF. The algorithm is fully automatic and has a complexity of O(N2 ) which means it is fast and scalable to large values of N.

• Type: Conference
• Year: 2008
• Where: ICPR
• Authors: Ezzat Ali El-Sherif, Sherif Abdelazeem, M. Fathy Abu El-Yazeed
• Keywords: Computer Vision, ICPR 2008, Optimum Classification Cascades, Powerful Classifier Sf, Satisfactory Accuracy