Applying Local Cooccurring Patterns for Object Detection from Aerial Images

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dc.contributor.author Jia, Wenjing en_US
dc.contributor.author Tien, David en_US
dc.contributor.author Hope, Brian en_US
dc.contributor.author Wu, Qiang en_US
dc.contributor.author He, Sean en_US
dc.contributor.editor NA en_US
dc.date.accessioned 2009-12-21T02:35:53Z
dc.date.available 2009-12-21T02:35:53Z
dc.date.issued 2007 en_US
dc.identifier 2007000247 en_US
dc.identifier.citation Jia Wenjing et al. 2007, 'Applying Local Cooccurring Patterns for Object Detection from Aerial Images', Springer, Berlin / Heidelberg, pp. 478-489. en_US
dc.identifier.issn 978-3-540-76413-7 en_US
dc.identifier.other E1 en_US
dc.identifier.uri http://hdl.handle.net/10453/4953
dc.description.abstract Developing a spatial searching tool to enhance the search capabilities of large spatial repositories for Geographical Information System (GIS) update has attracted more and more attention. Typically, objects to be detected are represented by many local features or local parts. Testing images are processed by extracting local features which are then matched with the objecta??s model image. Most existing work that uses local features assumes that each of the local features is independent to each other. However, in many cases, this is not true. In this paper, a method of applying the local cooccurring patterns to disclose the cooccurring relationships between local features for object detection is presented. Features including colour features and edge-based shape features of the interested object are collected. To reveal the cooccurring patterns among multiple local features, a colour cooccurrence histogram is constructed and used to search objects of interest from target images. The method is demonstrated in detecting swimming pools from aerial images. Our experimental results show the feasibility of using this method for effectively reducing the labour work in finding man-made objects of interest from aerial images. en_US
dc.publisher Springer en_US
dc.relation.hasversion Accepted manuscript version
dc.relation.isbasedon http://dx.doi.org/10.1007/978-3-540-76414-4 en_US
dc.title Applying Local Cooccurring Patterns for Object Detection from Aerial Images en_US
dc.parent International Conference on Visual Information Systems - Lecture Notes in Computer Science en_US
dc.journal.volume 4781/2007 en_US
dc.journal.number en_US
dc.publocation Berlin / Heidelberg en_US
dc.identifier.startpage 478 en_US
dc.identifier.endpage 489 en_US
dc.cauo.name INEXT Research Strength Core en_US
dc.conference Verified OK en_US
dc.for 080104 en_US
dc.personcode 044299 en_US
dc.personcode 0000028710 en_US
dc.personcode 990421 en_US
dc.personcode 0000035922 en_US
dc.personcode 000748 en_US
dc.percentage 50 en_US
dc.classification.name Computer Vision en_US
dc.classification.type FOR-08 en_US
dc.custom International Conference on Visual Information Systems en_US
dc.date.activity 20070628 en_US
dc.location.activity Shanghai, China en_US
dc.description.keywords Local cooccurring patterns, colour cooccurrence histogram, swimming pool detection en_US
dc.staffid 000748 en_US


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