Dynamic textures segmentation with GPU

This work addresses the problem of motion segmentation in video sequences using dynamic textures. Motion can be globally modeled as a statistical visual process know as dynamic texture. Specifically, we use the mixtures of dynamic textures model which can simultaneously handle different visual proce...

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Detalles Bibliográficos
Autores principales: Rodríguez, J.M., Gómez Fernández, F., Buemi, M.E., Jacobo-Berlles, J.
Formato: SER
Materias:
Computer vision applications
Cost benefit ratio
Dynamic textures
GPU implementation
GPU programming
Motion segmentation
Performance analysis
Video sequences
Visual process
Computer vision
Image analysis
Textures
Acceso en línea:http://hdl.handle.net/20.500.12110/paper_03029743_v7441LNCS_n_p607_Rodriguez
Aporte de:
Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA) de Universidad de Buenos Aires
Descripción
Sumario:This work addresses the problem of motion segmentation in video sequences using dynamic textures. Motion can be globally modeled as a statistical visual process know as dynamic texture. Specifically, we use the mixtures of dynamic textures model which can simultaneously handle different visual processes. Nowadays, GPU are becoming increasingly popular in computer vision applications because of their cost-benefit ratio. However, GPU programming is not a trivial task and not all algorithms can be easily switched to GPU. In this paper, we made two implementations of a known motion segmentation algorithm based on mixtures of dynamic textures. One using CPU and the other ported to GPU. The performance analyses show the scenarios for which it is worthwhile to do the full GPU implementation of the motion segmentation process. © 2012 Springer-Verlag.

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