Real-time Detection of Vehicles Using the Haar-like Features and Artificial Neuron Networks-Reference-Cited by-同舟云学术

Real-time Detection of Vehicles Using the Haar-like Features and Artificial Neuron Networks

Published:2015 Issue: Volume:73 Page:24-31
ISSN:1877-0509
Container-title:Procedia Computer Science
language:en
Short-container-title:Procedia Computer Science

Author:

Mohamed Atibi,Issam Atouf,Mohamed Boussaa,Abdellatif Bennis

Publisher

Elsevier BV

Subject

General Engineering

Reference20 articles.

1. Mioulet L, Breckon TP, Mouton A, Liang H, Morie T. Gabor features for real-time road environment classification. In: Industrial Technology. ICIT; 2013 February; Cape town. IEEE International Conference; pp. 1117-1121.

2. Haar wavelets and edge orientation histograms for on–board pedestrian detection;Gerónimo;In: Pattern Recognition and Image Analysis.,2007

3. A cascade of boosted generative and discriminative classifiers for vehicle detection;Negri;In: EURASIP Journal on Advances in Signal Processing.,2008

4. Negri P, Clady X, Prevost L. Benchmarking haar and histograms of oriented gradients features applied to vehicle detection. In: ICINCO 2007; Proceedings of the Fourth International Conference on Informatics in Control, Automation and Robotics, Robotics and Automation 1; May 9-12, 2007; Angers, France. pp. 359-364.

5. Pedestrian protection systems: Issues, survey, and challenges;Gandhi;In: Intelligent Transportation Systems, IEEE Transactions on;,2007

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