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

Camplani, Massimo and Salgado Álvarez de Sotomayor, Luis (2011). Scalable software architecture for on-line multi-camera video processing. In: "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.

Description

Title: Scalable software architecture for on-line multi-camera video processing
Author/s:
  • Camplani, Massimo
  • Salgado Álvarez de Sotomayor, Luis
Item Type: Presentation at Congress or Conference (Article)
Event Title: International Conference on Real-Time Image and Video Processing
Event Dates: 24/01/2011 - 25/01/2011
Event Location: San Francisco, CA, EEUU
Title of Book: Proceedings of International Conference on Real-Time Image and Video Processing
Date: 2011
Volume: 7871
Subjects:
Faculty: E.T.S.I. Telecomunicación (UPM)
Department: Señales, Sistemas y Radiocomunicaciones
Creative Commons Licenses: Recognition - No derivative works - Non commercial

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Abstract

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

More information

Item ID: 13459
DC Identifier: http://oa.upm.es/13459/
OAI Identifier: oai:oa.upm.es:13459
DOI: 10.1117/12.873082
Official URL: http://spie.org/x648.html?product_id=864075&origin_id=x648
Deposited by: Memoria Investigacion
Deposited on: 27 Nov 2012 08:58
Last Modified: 21 Apr 2016 12:46
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