Fatin ZAKLOUTA

Fatin ZAKLOUTA

Details

Work

PhD thesis on “Multiclass object recognition for Driver Assistance Systems and Video Surveillance”

Research Interests:

  • Real-time traffic sign recognition systems
  • Classification of traffic signs and other objects
  • Pedestrian detection

Publications

* Real-time traffic sign recognition using spatially weighted HOG trees Fatin Zaklouta, Bogdan Stanciulescu, IEEE International Conference on Advanced Robotics (ICAR) 2011, Best Student Paper Award icar2011.pdf

* Segmentation Masks for Real-time Traffic Sign Recognition using Weighted HOG-based Trees Fatin Zaklouta, Bogdan Stanciulescu, IEEE Intelligent Transportation Systems (ITS) 2011 itsc2011.pdf

* Traffic Sign Classification using K-d trees and Random Forests Fatin Zaklouta, Bogdan Stanciulescu, Omar Hamdoun, IEEE International Joint Conference on Neural Networks (IJCNN) 2011 ijcnn.pdf

* Warning Traffic Sign Recognition using a HOG-based K-d Tree Fatin Zaklouta, Bogdan Stanciulescu, IEEE Intelligent Vehicles Symposium (IV) 2011 iv2011.pdf

* Classifying Bags of Keypoints using HMMs Fatin Zaklouta, Bogdan Stanciulescu, IEEE ACS/IEEE International Conference on Computer Systems and Applications (AICCSA) 2010

* Object Classification Using Bags of Local Features Fatin Zaklouta, Bogdan Stanciulescu, Cognitive Systems with Interactive Sensors (COGIS) 2009

* Performance of Haar-like Features and Control Points on Pedestrian Detection Fatin Zaklouta, Bogdan Stanciulescu, Amaury Breheret, Cognitive Systems with Interactive Sensors (COGIS) 2009

 
users/fatinzaklouta.txt · Last modified: 2011/08/26 16:26 by Fatin ZAKLOUTA
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