File Download

There are no files associated with this item.

  Links for fulltext
     (May Require Subscription)
Supplementary

Conference Paper: Modeling and design of mobile surveillance networks using a mutational analysis approach

TitleModeling and design of mobile surveillance networks using a mutational analysis approach
Authors
KeywordsHausdorff tracking
Visual surveillance
Mutational analysis
Mobile surveillance networks
Issue Date2005
Citation
2005 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS, 2005, p. 395-400 How to Cite?
AbstractNetworked surveillance systems provide an extended perception and distributed reasoning capability in monitored environments through the use of multiple networked sensors. The challenge for such large scale networked systems is to design an efficient modeling and analysis tool and devise stable control algorithms for accomplishing the surveillance task. Current feature (point) based visual servo and tracking techniques generally employed do not provide an optimal solution for the surveillance task. This paper presents a mutational analysis approach for shapes, and shape based control to model and design mechanisms for such active surveillance systems. The techniques of image based Hausdorff tracking and cooperative Hausdorff tracking are introduced. Finally, experimental results demonstrate the efficacy of the proposed approach for tracking targets over a large area. © 2005 IEEE.
Persistent Identifierhttp://hdl.handle.net/10722/213179

 

DC FieldValueLanguage
dc.contributor.authorGoradia, Amit-
dc.contributor.authorXi, Ning-
dc.contributor.authorCen, Zhiwei-
dc.contributor.authorMutka, Matt-
dc.date.accessioned2015-07-28T04:06:24Z-
dc.date.available2015-07-28T04:06:24Z-
dc.date.issued2005-
dc.identifier.citation2005 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS, 2005, p. 395-400-
dc.identifier.urihttp://hdl.handle.net/10722/213179-
dc.description.abstractNetworked surveillance systems provide an extended perception and distributed reasoning capability in monitored environments through the use of multiple networked sensors. The challenge for such large scale networked systems is to design an efficient modeling and analysis tool and devise stable control algorithms for accomplishing the surveillance task. Current feature (point) based visual servo and tracking techniques generally employed do not provide an optimal solution for the surveillance task. This paper presents a mutational analysis approach for shapes, and shape based control to model and design mechanisms for such active surveillance systems. The techniques of image based Hausdorff tracking and cooperative Hausdorff tracking are introduced. Finally, experimental results demonstrate the efficacy of the proposed approach for tracking targets over a large area. © 2005 IEEE.-
dc.languageeng-
dc.relation.ispartof2005 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS-
dc.subjectHausdorff tracking-
dc.subjectVisual surveillance-
dc.subjectMutational analysis-
dc.subjectMobile surveillance networks-
dc.titleModeling and design of mobile surveillance networks using a mutational analysis approach-
dc.typeConference_Paper-
dc.description.natureLink_to_subscribed_fulltext-
dc.identifier.doi10.1109/IROS.2005.1545013-
dc.identifier.scopuseid_2-s2.0-79957982999-
dc.identifier.spage395-
dc.identifier.epage400-

Export via OAI-PMH Interface in XML Formats


OR


Export to Other Non-XML Formats