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Abdelaziz Bensrhair
Researcher at Intelligence and National Security Alliance
Publications - 128
Citations - 2115
Abdelaziz Bensrhair is an academic researcher from Intelligence and National Security Alliance. The author has contributed to research in topics: Feature extraction & Object detection. The author has an hindex of 21, co-authored 124 publications receiving 1940 citations. Previous affiliations of Abdelaziz Bensrhair include Institut national des sciences appliquées de Rouen & Valeo.
Papers
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Pedestrian Detection usingInfraredimages and Histograms of Oriented Gradients
TL;DR: In this article, an imagedescriptor based on histogram of oriented gradients (HOG), associated with a Support Vector Machine (SVM) classifier was used for pedestrian detection.
Proceedings ArticleDOI
Pedestrian Detection using Infrared images and Histograms of Oriented Gradients
TL;DR: This paper presents a complete method for pedestrian detection applied to infrared images, which gives good results for window classification and a preliminary test applied on a video sequence proves that this approach is very promising.
Journal ArticleDOI
Vehicle detection by means of stereo vision-based obstacles features extraction and monocular pattern analysis
TL;DR: This paper presents a stereo vision system for the detection and distance computation of a preceding vehicle by using a symmetry operator, a match against a simplified model of a rear vehicle's shape is performed using a monocular vision-based approach that allows the identification of a prior vehicle.
Proceedings ArticleDOI
A cooperative approach to vision-based vehicle detection
Abdelaziz Bensrhair,Massimo Bertozzi,Alberto Broggi,Pierre Miche,Stephane Mousset,Gwenaëlle Toulminet +5 more
TL;DR: Two different vision based systems for vehicle detection are described and their integration discussed and some remarks about reliability and robustness are also included.
Proceedings ArticleDOI
Stereo vision-based feature extraction for vehicle detection
Abdelaziz Bensrhair,A. Bertozzi,Alberto Broggi,Alessandra Fascioli,Stephane Mousset,Gwenaëlle Toulminet +5 more
TL;DR: The system presented in this work derives from the integration of the research work developed by the University of Parma and I.N.S.A. of Rouen, thus allowing the identification of the sole characteristics belonging to a vehicle.