Scalable software architecture for on-line multi-camera video processing

Camplani, Massimo y Salgado Álvarez de Sotomayor, Luis (2011). Scalable software architecture for on-line multi-camera video processing. En: "International Conference on Real-Time Image and Video Processing", 24/01/2011 - 25/01/2011, San Francisco, CA, EEUU. pp. 7871061-78710615. https://doi.org/10.1117/12.873082.

Descripción

Título: Scalable software architecture for on-line multi-camera video processing
Autor/es:
  • Camplani, Massimo
  • Salgado Álvarez de Sotomayor, Luis
Tipo de Documento: Ponencia en Congreso o Jornada (Artículo)
Título del Evento: International Conference on Real-Time Image and Video Processing
Fechas del Evento: 24/01/2011 - 25/01/2011
Lugar del Evento: San Francisco, CA, EEUU
Título del Libro: Proceedings of International Conference on Real-Time Image and Video Processing
Fecha: 2011
Volumen: 7871
Materias:
Escuela: E.T.S.I. Telecomunicación (UPM)
Departamento: Señales, Sistemas y Radiocomunicaciones
Licencias Creative Commons: Reconocimiento - Sin obra derivada - No comercial

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Resumen

In this paper we present a scalable software architecture for on-line multi-camera video processing, that guarantees a good trade off between computational power, scalability and flexibility. The software system is modular and its main blocks are the Processing Units (PUs), and the Central Unit. The Central Unit works as a supervisor of the running PUs and each PU manages the acquisition phase and the processing phase. Furthermore, an approach to easily parallelize the desired processing application has been presented. In this paper, as case study, we apply the proposed software architecture to a multi-camera system in order to efficiently manage multiple 2D object detection modules in a real-time scenario. System performance has been evaluated under different load conditions such as number of cameras and image sizes. The results show that the software architecture scales well with the number of camera and can easily works with different image formats respecting the real time constraints. Moreover, the parallelization approach can be used in order to speed up the processing tasks with a low level of overhead

Más información

ID de Registro: 13459
Identificador DC: http://oa.upm.es/13459/
Identificador OAI: oai:oa.upm.es:13459
Identificador DOI: 10.1117/12.873082
URL Oficial: http://spie.org/x648.html?product_id=864075&origin_id=x648
Depositado por: Memoria Investigacion
Depositado el: 27 Nov 2012 08:58
Ultima Modificación: 21 Abr 2016 12:46
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