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Automated safety control by video cameras

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Author: Lefter, I. · Rothkrantz, L. · Somhorst, M.
Type:article
Date:2012
Source:13th International Conference on Computer Systems and Technologies, CompSysTech 2012, 22-23 June 2012, Ruse,, 298-305
Identifier: 466446
doi: doi:10.1145/2383276.2383320
Keywords: Multiple agent networks · Smart cameras · Surveillance systems · Human operator · Multiple agents · Public domains · Safety controls · Smart cameras · Surveillance systems · Suspicious behaviours · Artificial intelligence · Security systems · Computer vision · Safety and Security · Defence, Safety and Security · Physics & Electronics · II - Intelligent Imaging · TS - Technical Sciences

Abstract

At this moment many surveillance systems are installed in public domains to control the safety of people and properties. They are constantly watched by human operators who are easily overloaded. To support the human operators, a surveillance system model is designed that detects suspicious behaviour in a non-public area. Its task is to alert the operators about suspicious events to give them the chance to investigate and take action. A prototype application has been implemented using stateof-the-art techniques from Computer Vision and Artificial Intelligence. Copyright © 2012 ACM.