Real time motion estimation using a neural architecture implemented on GPUs
Por favor, use este identificador para citar o enlazar este ítem:
http://hdl.handle.net/10045/37708
Título: | Real time motion estimation using a neural architecture implemented on GPUs |
---|---|
Autor/es: | Garcia-Rodriguez, Jose | Orts-Escolano, Sergio | Angelopoulou, Anastassia | Psarrou, Alexandra | Azorin-Lopez, Jorge | García-Chamizo, Juan Manuel |
Grupo/s de investigación o GITE: | Informática Industrial y Redes de Computadores |
Centro, Departamento o Servicio: | Universidad de Alicante. Departamento de Tecnología Informática y Computación |
Palabras clave: | Motion estimation | Neural architectures | Topology preservation | Real time | GPGPU |
Área/s de conocimiento: | Arquitectura y Tecnología de Computadores |
Fecha de publicación: | abr-2014 |
Editor: | Springer Berlin Heidelberg |
Cita bibliográfica: | Journal of Real-Time Image Processing. 2014, Apr. doi:10.1007/s11554-014-0417-y |
Resumen: | This work describes a neural network based architecture that represents and estimates object motion in videos. This architecture addresses multiple computer vision tasks such as image segmentation, object representation or characterization, motion analysis and tracking. The use of a neural network architecture allows for the simultaneous estimation of global and local motion and the representation of deformable objects. This architecture also avoids the problem of finding corresponding features while tracking moving objects. Due to the parallel nature of neural networks, the architecture has been implemented on GPUs that allows the system to meet a set of requirements such as: time constraints management, robustness, high processing speed and re-configurability. Experiments are presented that demonstrate the validity of our architecture to solve problems of mobile agents tracking and motion analysis. |
Patrocinador/es: | This work was partially funded by the Spanish Government DPI2013-40534-R grant and Valencian Government GV/2013/005 grant. |
URI: | http://hdl.handle.net/10045/37708 |
ISSN: | 1861-8200 (Print) | 1861-8219 (Online) |
DOI: | 10.1007/s11554-014-0417-y |
Idioma: | eng |
Tipo: | info:eu-repo/semantics/article |
Derechos: | The final publication is available at Springer via http://dx.doi.org/10.1007/s11554-014-0417-y |
Revisión científica: | si |
Versión del editor: | http://dx.doi.org/10.1007/s11554-014-0417-y |
Aparece en las colecciones: | INV - I2RC - Artículos de Revistas INV - AIA - Artículos de Revistas |
Archivos en este ítem:
Archivo | Descripción | Tamaño | Formato | |
---|---|---|---|---|
2014_Garcia-Rodriguez_etal_JReal-TimeImageProc.pdf | Versión final (acceso restringido) | 4,59 MB | Adobe PDF | Abrir Solicitar una copia |
2014_Garcia-Rodriguez_etal_JReal-TimeImageProc_Draft.pdf | Preprint (acceso abierto) | 1,85 MB | Adobe PDF | Abrir Vista previa |
Todos los documentos en RUA están protegidos por derechos de autor. Algunos derechos reservados.