Adjustment of Surveillance Video Systems by a Performance Evaluation Function

Concha, OP; Garcia, J; Berlanga, A; Molina, JM

Adjustment of Surveillance Video Systems by a Performance Evaluation Function

Concha, OP Garcia, J Berlanga, A Molina, JM

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Publisher:: Springer-Verlag Berlin Heidelberg
Publication Type:: Conference Proceeding
Citation:: Artificial Intelligence and Knowledge Engineering Applications: A Bioinspired Approach - Lecture Notes in Computer Science Volume 3562 - Proceedings of First International Work-Conference on the Interplay Between Natural and Artificial Computation, 2005, 3562 pp. 499 - 508
Issue Date:: 2005-01

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Field	Value	Language
dc.contributor.author	Concha, OP	en_US
dc.contributor.author	Garcia, J	en_US
dc.contributor.author	Berlanga, A	en_US
dc.contributor.author	Molina, JM	en_US
dc.contributor.editor	Mira, J	en_US
dc.contributor.editor	Alvarez, JR	en_US
dc.date	2005-06-15	en_US
dc.date.issued	2005-01	en_US
dc.identifier.citation	Artificial Intelligence and Knowledge Engineering Applications: A Bioinspired Approach - Lecture Notes in Computer Science Volume 3562 - Proceedings of First International Work-Conference on the Interplay Between Natural and Artificial Computation, 2005, 3562 pp. 499 - 508	en_US
dc.identifier.isbn	978-3-540-26319-7	en_US
dc.identifier.uri	http://hdl.handle.net/10453/16265
dc.description.abstract	This paper proposes an evaluation metric for assessing the performance of a video tracking system. This metric is applied to adjust the parameters that regulates the video tracking system in order to improve the system perfomance. Thus, the automated optimization method is based on evolutionary computation techniques. The illustration of the process is carried out using three very different video sequences in which the evaluation function assesses trajectories of airplanes, cars or baggagetrucks in an airport surveillance application.	en_US
dc.publisher	Springer-Verlag Berlin Heidelberg	en_US
dc.relation.ispartof	Artificial Intelligence and Knowledge Engineering Applications: A Bioinspired Approach - Lecture Notes in Computer Science Volume 3562 - Proceedings of First International Work-Conference on the Interplay Between Natural and Artificial Computation	en_US
dc.relation.isbasedon	10.1007/11499305_51	en_US
dc.subject.classification	Artificial Intelligence & Image Processing	en_US
dc.title	Adjustment of Surveillance Video Systems by a Performance Evaluation Function	en_US
dc.type	Conference Proceeding
utslib.citation.volume	3562	en_US
utslib.location	Germany	en_US
utslib.location.activity	Las Palmas, Canary Islands	en_US
utslib.for	0801 Artificial Intelligence and Image Processing	en_US
dc.location.activity	Las Palmas, Canary Islands	en_US
dc.location.activity	New York, USA
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Mechanical and Mechatronic Engineering
utslib.copyright.status	closed_access
pubs.consider-herdc	false	en_US
pubs.place-of-publication	Germany	en_US
pubs.start-date	2005-06-15	en_US
pubs.volume	3562	en_US

Abstract:

This paper proposes an evaluation metric for assessing the performance of a video tracking system. This metric is applied to adjust the parameters that regulates the video tracking system in order to improve the system perfomance. Thus, the automated optimization method is based on evolutionary computation techniques. The illustration of the process is carried out using three very different video sequences in which the evaluation function assesses trajectories of airplanes, cars or baggagetrucks in an airport surveillance application.

Please use this identifier to cite or link to this item:

http://hdl.handle.net/10453/16265