inria-00333071, version 1
Frame Rate Object Extraction from Video Sequences with Self Organizing Networks and Statistical Background Detection
Thiago Craesmeyer Bellardi
a, 1Dizan Alejandro Vasquez Govea 2Christian Laugier a, 1
IEEE/RSJ 2008 International Conference on Intelligent Robots and Systems (2008)
Résumé : In many computer vision related applications it is necessary to distinguish between the background of an image and the objects that are contained in it. This is a difficult problem because of the double constraint on the available time and the computational cost of robust object extraction algorithms. This paper builds upon former work on combining the strong theoretical foundations of clustering with the speed of other approaches. It is based on a novel Self Organizing Network (SON) which has a robust initialization schema and is able to find the number of objects in an image or grid. The main contribution of our extension is that it eliminates the use of a threshold, allowing the algorithm to work on continuous, while having a complexity that remains linear with respect to the number of pixels or cells.
- a – INRIA
- 1 : E-MOTION (INRIA Grenoble Rhône-Alpes / LIG Laboratoire d'Informatique de Grenoble)
- INRIA – Université Joseph Fourier - Grenoble I – Université Pierre-Mendès-France - Grenoble II – CNRS : UMR5217 – Institut polytechnique de Grenoble (Grenoble INP)
- 2 : Autonomous Systems Lab (ASL)
- Swiss Federal Research Institute
- Domaine : Informatique/Robotique
Informatique/Traitement du signal et de l'imageInformatique/Vision par ordinateur et reconnaissance de formesSciences de l'ingénieur/Traitement du signal et de l'image
- inria-00333071, version 1
- http://hal.inria.fr/inria-00333071
- oai:hal.inria.fr:inria-00333071
- Contributeur : Thiago Craesmeyer Bellardi
- Soumis le : Mercredi 22 Octobre 2008, 14:09:34
- Dernière modification le : Vendredi 24 Octobre 2008, 09:09:02
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