Distributed surveillance system for business economic and information management

Reda Shbib, Shikun Zhou, David Lorater Ndzi, Khalil Ibrahim Hady Alkadhimi, Mohamed Al-Mosawi

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Recent developments in computer and image processing technology have led to the expansion of several automatic surveillance systems. This paper describes a general, scalable, and distributed framework monitoring model for real-time video-analysis intended for research, prototyping and especially, for business economic purposes. The architecture of the system considers multiple cameras and is based on a server/client model. System modules can be connected in different ways, therefore achieving more flexibility. Three main design criteria’s have been considered 1- low computational cost 2- easy component integration, 3-sensors grouping. The experimental results show the potential use of the proposed system.

Original languageEnglish
Title of host publicationPervasive computing and the networked world
Subtitle of host publicationJoint International Conference, ICPCA/SWS 2013, Vina del Mar, Chile, December 5-7, 2013. Revised Selected Papers
EditorsQiaohong Zu, Maria Vargas-Vera, Bo Hu
PublisherSpringer
Pages508-519
Number of pages12
ISBN (Electronic)978-3-319-09265-2
ISBN (Print)9783319092645
DOIs
Publication statusPublished - 2014
Externally publishedYes

Publication series

NameLecture Notes in Computer Science
PublisherSpringer
Volume8351
ISSN (Print)0302-9743

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Keywords

  • Counting People
  • Computer Vision
  • Image processing

Cite this

Shbib, R., Zhou, S., Ndzi, D. L., Alkadhimi, K. I. H., & Al-Mosawi, M. (2014). Distributed surveillance system for business economic and information management. In Q. Zu, M. Vargas-Vera, & B. Hu (Eds.), Pervasive computing and the networked world: Joint International Conference, ICPCA/SWS 2013, Vina del Mar, Chile, December 5-7, 2013. Revised Selected Papers (pp. 508-519). (Lecture Notes in Computer Science; Vol. 8351). Springer. https://doi.org/10.1007/978-3-319-09265-2_52