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Les Séminaires REPARTI à l'Université Laval ont lieu le vendredi à 11h30.
Veuillez consulter le programme pour plus de détails.

Projet de maîtrise, de doctorat ou stage postdoctoral en apprentissage automatique au sein de l'équipe du Prof. Christian Gagné : veuillez consulter l'annonce suivante pour tous les détails : http://vision.gel.ulaval.ca/~cgagne/postes2017.html
Sep 22 2017 11:30AM
Séminaire
Online optimization of microscopy imaging parameters

 

 

 

 

REPARTI

MIVIM

Mar 8 2013 11:30AM

Alejandro Sanchez
Laboratoire DAMAS


Vehicle detection and tracking in car video based on motion model



Référence

Jazayeri, A., Cai, H., Zheng, J.Y. and Tuceryan, M., Vehicle detection and tracking in car video based on motion model, IEEE Transactions on Intelligent Transportation Systems 2011, Volume 12, Issue 2, Pages 583 - 595.

Résumé

The authors propose a comprehensive approach to localizing target vehicles in video under various environmental conditions. The extracted geometry features from the video are continuously projected onto a 1-D profile and are constantly tracked. They rely on temporal information of features and their motion behaviors for vehicle identification, which compensates for the complexity in recognizing vehicle shapes, colors, and types. They probabilistically model the motion in the field of view according to the scene characteristics and the vehicle motion model. The hidden Markov model (HMM) is used to separate target vehicles from the background and track them probabilistically. The proposed approach is robust and effective in dealing with changes in environment and illumination and indicates that real-time processing becomes possible for vehicle-borne cameras.




     
   
   

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