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Stationary region predictor using a stationary camera

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dc.contributor.author De Villiers, B.Z.
dc.contributor.author Roodt, Y.
dc.contributor.author Roos, H.
dc.contributor.author Clarke, W.A.
dc.date.accessioned 2012-11-14T19:30:45Z
dc.date.available 2012-11-14T19:30:45Z
dc.date.issued 2011
dc.identifier.citation De Villiers, B.Z. et al. 2011. Stationary region predictor using a stationary camera. Paper presented at SATNAC 2011: East London, South Africa en_US
dc.identifier.uri http://hdl.handle.net/10210/8207
dc.description.abstract A method to determine the stationery probability of regions or feature points in a video sequence is proposed in this paper. This is done by identifying feature points using the Harris corner detector, finding descriptors for the feature points and then tracking the feature points. The information gained from tracking the feature points is then used to determine the stationery probability of these features. This method is shown to successfully identify probable stationery and moving regions in video sequences. en_US
dc.language.iso en en_US
dc.publisher SATNAC en_US
dc.rights © B.Z de Villiers , Y. Roodt, H. Roos, W.A Clarke. 2011. Available online at http://www.satnac.org.za/proceedings/2011/papers_work_in_progress.htm en_US
dc.subject Stationery probability en_US
dc.subject Stationary cameras en_US
dc.subject Video sequences en_US
dc.title Stationary region predictor using a stationary camera en_US
dc.type Article en_US


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