Please use this identifier to cite or link to this item: http://hdl.handle.net/2440/81425
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dc.contributor.authorChen, Y.en
dc.contributor.authorZhang, R.en
dc.contributor.authorShang, L.en
dc.contributor.authorHu, E.en
dc.date.issued2013en
dc.identifier.citationReview of Scientific Instruments, 2013; 84(9):1-4en
dc.identifier.issn0034-6748en
dc.identifier.issn1089-7623en
dc.identifier.urihttp://hdl.handle.net/2440/81425-
dc.description.abstractTo solve the problems caused by a changing background during object detection in active camera, this paper proposes a new method based on SURF (speeded up robust features) and data clustering. The SURF feature points of each image are extracted, and each cluster center is calculated by processing the data clustering of k adjacent frames. Templates for each class are obtained by calculating the histograms within the regions around the center points of the clustering classes. The window of the moving object can be located by finding the region that satisfies the histogram matching result between adjacent frames. Experimental results demonstrate that the proposed method can improve the effectiveness of object detection.en
dc.description.statementofresponsibilityYong Chen, Ronghua Zhang, Lei Shang, and Eric Huen
dc.language.isoenen
dc.publisherAmer Inst Physicsen
dc.rights© 2013 AIP Publishing LLCen
dc.source.urihttp://scitation.aip.org/content/aip/journal/rsi/84/9/10.1063/1.4821875en
dc.titleNote: An object detection method for active cameraen
dc.typeJournal articleen
dc.identifier.rmid0020132199en
dc.identifier.doi10.1063/1.4821875en
dc.identifier.pubid17747-
pubs.library.collectionMechanical Engineering publicationsen
pubs.verification-statusVerifieden
pubs.publication-statusPublisheden
dc.identifier.orcidHu, E. [0000-0002-7390-0961]en
Appears in Collections:Mechanical Engineering publications

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