Tools for semi-automatic monitoring of industrial workflows


Veres, Galina, Middleton, Lee, Sabeur, Zed, Bouchrika, Imed, Arbab-Zavar, Banafshe, Carter, John, Nixon, Mark, Grabner, Helmut, Stalder, Severin, Van Gool, Luc, Morzinger, Roland, Thaler, Marcus, Rene, Schuster, Albert, Hofman and Thallinger, Georg (2010) Tools for semi-automatic monitoring of industrial workflows. In, ACM Multimedia 2010, Florence, IT, 25 - 29 Oct 2010.

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Description/Abstract

This paper describes a tool chain for monitoring complex workflows. Statistics obtained from automatic workflow monitoring in a car assembly environment assist in improving industrial safety and process quality. To this end, we propose automatic detection and tracking of humans and their activity in multiple networked cameras. The described tools offer human operators retrospective analysis of a huge amount of pre-recorded and analyzed footage from multiple cameras in order to get a comprehensive overview of the workflows. Furthermore, the tools help technical administrators in adjusting algorithms by letting the user correct detections (for relevance feedback) and ground truth for evaluation. Another important feature of the tool chain is the capability to inform the employees about potentially risky conditions using the tool for automatic detection of unusual scenes

Item Type: Conference or Workshop Item (Paper)
Keywords: computer vision, industrial environments, applications, human detection and tracking, workflow recognition
Subjects: H Social Sciences > HD Industries. Land use. Labor > HD28 Management. Industrial Management
Q Science > QA Mathematics > QA75 Electronic computers. Computer science
T Technology > TS Manufactures
Divisions: Faculty of Physical Sciences and Engineering > Electronics and Computer Science > Comms, Signal Processing & Control
Faculty of Physical Sciences and Engineering > Electronics and Computer Science > IT Innovation Centre
ePrint ID: 272321
Date Deposited: 24 May 2011 13:22
Last Modified: 27 Mar 2014 20:18
Further Information:Google Scholar
URI: http://eprints.soton.ac.uk/id/eprint/272321

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