tailieunhanh - Báo cáo hóa học: " Research Article A Cascade of Boosted Generative and Discriminative Classifiers for Vehicle Detection"

Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành hóa học dành cho các bạn yêu hóa học tham khảo đề tài: Research Article A Cascade of Boosted Generative and Discriminative Classifiers for Vehicle Detection | Hindawi Publishing Corporation EURASIP Journal on Advances in Signal Processing Volume 2008 Article ID 782432 12 pages doi 2008 782432 Research Article A Cascade of Boosted Generative and Discriminative Classifiers for Vehicle Detection Pablo Negri Xavier Clady Shehzad Muhammad Hanif and Lionel Prevost Institut des Systemes Intelligents et de Robotique CNRS FRE 2507 Universite Pierre et Marie Curie-Paris 6 3 Rue Galilee 94200 Ivry sur Seine France Correspondence should be addressed to Lionel Prevost Received 1 October 2007 Revised 4 January 2008 Accepted 16 January 2008 Recommended by Hubert Cardot We present an algorithm for the on-board vision vehicle detection problem using a cascade of boosted classifiers. Three families of features are compared the rectangular filters Haar-like features the histograms of oriented gradient HoG and their combination a concatenation of the two preceding features . A comparative study of the results of the generative HoG features discriminative Haar-like features detectors and of their fusion is presented. These results show that the fusion combines the advantages of the other two detectors generative classifiers eliminate easily negative examples in the early layers of the cascade while in the later layers the discriminative classifiers generate a fine decision boundary removing the negative examples near the vehicle model. The best algorithm achieves good performances on a test set containing some 500 vehicle images the detection rate is about 94 and the false-alarm rate per image is . Copyright 2008 Pablo Negri et al. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use distribution and reproduction in any medium provided the original work is properly cited. 1. INTRODUCTION The increasing number of cars has increased the demand of driver assistance systems which makes driving more comfortable and safe 1 . Many researches .