Fatin ZAKLOUTA

• Position: PhD Student
• Period: 2008 - 2011
• Email address: fatin.zaklouta@mines-paristech.fr.
• Extension: 9358
• Curriculum Vitae cv_zaklouta.pdf

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

* 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