Tools for semi-automatic monitoring of industrial workflows
Tools for semi-automatic monitoring of industrial workflows
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
computer vision, industrial environments, applications, human detection and tracking, workflow recognition
Veres, Galina
3c2a37d2-3904-43ce-b0cf-006f62b87337
Middleton, Lee
f165a2fa-1a66-4d84-9c58-0cdaa8e73272
Sabeur, Zoheir
74b55ff0-94cc-4624-84d5-bb816a7c9be6
Bouchrika, Imed
584a502f-829f-4acc-9200-e42f60e42bf0
Arbab-Zavar, Banafshe
40e175ea-6557-47c6-b759-318d7e24984b
Carter, John
e05be2f9-991d-4476-bb50-ae91606389da
Nixon, Mark
2b5b9804-5a81-462a-82e6-92ee5fa74e12
Grabner, Helmut
2fda64cd-5e32-46c1-8325-0a630c379bf6
Stalder, Severin
c0b75f14-63ba-42c5-a945-e56dd687b774
Van Gool, Luc
7aa6fbb4-68f5-4b18-8d99-ba71be78844d
Morzinger, Roland
b3664d7d-1f41-4419-80ea-5af77b3437a8
Thaler, Marcus
dd91b600-75ca-42ff-a705-eb295415c20a
Rene, Schuster
aa043adc-b6f3-45ab-bf9e-2d852d82c422
Albert, Hofman
b05762cc-f2ed-400b-9fa9-6f54f27e78ec
Thallinger, Georg
ed8a909b-32d8-432b-8c66-412d5c412bb1
October 2010
Veres, Galina
3c2a37d2-3904-43ce-b0cf-006f62b87337
Middleton, Lee
f165a2fa-1a66-4d84-9c58-0cdaa8e73272
Sabeur, Zoheir
74b55ff0-94cc-4624-84d5-bb816a7c9be6
Bouchrika, Imed
584a502f-829f-4acc-9200-e42f60e42bf0
Arbab-Zavar, Banafshe
40e175ea-6557-47c6-b759-318d7e24984b
Carter, John
e05be2f9-991d-4476-bb50-ae91606389da
Nixon, Mark
2b5b9804-5a81-462a-82e6-92ee5fa74e12
Grabner, Helmut
2fda64cd-5e32-46c1-8325-0a630c379bf6
Stalder, Severin
c0b75f14-63ba-42c5-a945-e56dd687b774
Van Gool, Luc
7aa6fbb4-68f5-4b18-8d99-ba71be78844d
Morzinger, Roland
b3664d7d-1f41-4419-80ea-5af77b3437a8
Thaler, Marcus
dd91b600-75ca-42ff-a705-eb295415c20a
Rene, Schuster
aa043adc-b6f3-45ab-bf9e-2d852d82c422
Albert, Hofman
b05762cc-f2ed-400b-9fa9-6f54f27e78ec
Thallinger, Georg
ed8a909b-32d8-432b-8c66-412d5c412bb1
Veres, Galina, Middleton, Lee, Sabeur, Zoheir, 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.
ACM Multimedia 2010, Firenze, Italy.
25 - 29 Oct 2010.
Record type:
Conference or Workshop Item
(Paper)
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
Text
2010_-_22321.pdf
- Other
More information
Published date: October 2010
Venue - Dates:
ACM Multimedia 2010, Firenze, Italy, 2010-10-25 - 2010-10-29
Keywords:
computer vision, industrial environments, applications, human detection and tracking, workflow recognition
Organisations:
Southampton Wireless Group, IT Innovation
Identifiers
Local EPrints ID: 272321
URI: http://eprints.soton.ac.uk/id/eprint/272321
PURE UUID: 1d15ba49-f010-4f4a-a39c-bcced2a442f3
Catalogue record
Date deposited: 24 May 2011 13:22
Last modified: 15 Mar 2024 02:35
Export record
Contributors
Author:
Galina Veres
Author:
Lee Middleton
Author:
Zoheir Sabeur
Author:
Imed Bouchrika
Author:
Banafshe Arbab-Zavar
Author:
John Carter
Author:
Helmut Grabner
Author:
Severin Stalder
Author:
Luc Van Gool
Author:
Roland Morzinger
Author:
Marcus Thaler
Author:
Schuster Rene
Author:
Hofman Albert
Author:
Georg Thallinger
Download statistics
Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.
View more statistics