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Motion detection in spatio-temporal space
dc.contributor.authorLiou, Shih-Pingen_US
dc.contributor.authorJain, Ramesh C.en_US
dc.date.accessioned2006-04-07T20:57:32Z
dc.date.available2006-04-07T20:57:32Z
dc.date.issued1989-02en_US
dc.identifier.citationLiou, Shih-Ping, Jain, Ramesh C. (1989/02)."Motion detection in spatio-temporal space." Computer Vision, Graphics, and Image Processing 45(2): 227-250. <http://hdl.handle.net/2027.42/28157>en_US
dc.identifier.urihttp://www.sciencedirect.com/science/article/B7GXG-4CRRMNF-12/2/6fe72b43f3e773318b138e042f31b975en_US
dc.identifier.urihttps://hdl.handle.net/2027.42/28157
dc.description.abstractWe present an analysis of existing motion detectors for determining desirable characteristics of a motion detector. A spatio-temporal surface type inseparable model is then proposed for motion detection. Based on this model, we analyzed mathematically how the geometry of the intensity hypersurface gives information about motion in image. The local motion information, obtained from the parameters of the Monge patch approximating the intensity hypersurface in the spatio-temporal space, may be used for segmentation of dynamic scenes. Motion detection results for real sequences show the robustness of this detector.en_US
dc.format.extent13005324 bytes
dc.format.extent3118 bytes
dc.format.mimetypeapplication/pdf
dc.format.mimetypetext/plain
dc.language.isoen_US
dc.publisherElsevieren_US
dc.titleMotion detection in spatio-temporal spaceen_US
dc.typeArticleen_US
dc.rights.robotsIndexNoFollowen_US
dc.subject.hlbsecondlevelComputer Scienceen_US
dc.subject.hlbtoplevelEngineeringen_US
dc.description.peerreviewedPeer Revieweden_US
dc.contributor.affiliationumArtificial Intelligence Laboratory, Department of Electrical Engineering and Computer Science, The University of Michigan, Ann Arbor, Michigan 48109, USAen_US
dc.contributor.affiliationumArtificial Intelligence Laboratory, Department of Electrical Engineering and Computer Science, The University of Michigan, Ann Arbor, Michigan 48109, USAen_US
dc.description.bitstreamurlhttp://deepblue.lib.umich.edu/bitstream/2027.42/28157/1/0000609.pdfen_US
dc.identifier.doihttp://dx.doi.org/10.1016/0734-189X(89)90134-5en_US
dc.identifier.sourceComputer Vision, Graphics, and Image Processingen_US
dc.owningcollnameInterdisciplinary and Peer-Reviewed


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