Please use this identifier to cite or link to this item:
https://hdl.handle.net/2440/116293
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DC Field | Value | Language |
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dc.contributor.author | Zhu, M. | - |
dc.contributor.author | Dick, A. | - |
dc.contributor.author | van den Hengel, A. | - |
dc.contributor.editor | Blanc-Talon, J. | - |
dc.contributor.editor | Penne, R. | - |
dc.contributor.editor | Philips, W. | - |
dc.contributor.editor | Popescu, D. | - |
dc.contributor.editor | Scheunders, P. | - |
dc.date.issued | 2017 | - |
dc.identifier.citation | Lecture Notes in Artificial Intelligence, 2017 / Blanc-Talon, J., Penne, R., Philips, W., Popescu, D., Scheunders, P. (ed./s), vol.10617 LNCS, pp.455-467 | - |
dc.identifier.isbn | 9783319703527 | - |
dc.identifier.issn | 0302-9743 | - |
dc.identifier.issn | 1611-3349 | - |
dc.identifier.uri | http://hdl.handle.net/2440/116293 | - |
dc.description.abstract | This paper proposes a scalable and robust algorithm to find connections between cameras in a large surveillance network, based solely on lighting variation. We show how to detect regions that are affected by lighting changes within each camera view, with limited data. Then, we establish the light-overlap connections and show that our algorithm can scale to hundreds of camera while maintaining high accuracy. We demonstrate our method on a campus network of 100 real cameras and 500 simulated cameras, and evaluate its accuracy and scalability. | - |
dc.description.statementofresponsibility | Michael Zhu, Anthony Dick, Anton van den Hengel | - |
dc.language.iso | en | - |
dc.publisher | Springer | - |
dc.relation.ispartofseries | Lecture Notes in Computer Science; 10617 | - |
dc.rights | ©Springer International Publishing AG 2017 | - |
dc.source.uri | http://dx.doi.org/10.1007/978-3-319-70353-4_39 | - |
dc.subject | Large-scale intelligent video surveillance; topology estimation; light-overlap; lighting variation detection; segmentation | - |
dc.title | Large-scale camera network topology estimation by lighting variation | - |
dc.type | Conference paper | - |
dc.contributor.conference | 18th International Conference on Advanced Concepts for Intelligent Vision Systems (ACIVS 2017) (18 Sep 2017 - 21 Sep 2017 : Antwerp, Belgium) | - |
dc.identifier.doi | 10.1007/978-3-319-70353-4_39 | - |
pubs.publication-status | Published | - |
dc.identifier.orcid | Dick, A. [0000-0001-9049-7345] | - |
dc.identifier.orcid | van den Hengel, A. [0000-0003-3027-8364] | - |
Appears in Collections: | Aurora harvest 8 Australian Institute for Machine Learning publications Computer Science publications |
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