2-D triangular mesh-based mosaicking for object tracking in the presence of occlusion

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dc.citation.epage337en_US
dc.citation.spage328en_US
dc.citation.volumeNumber3024en_US
dc.contributor.authorToklu, C.en_US
dc.contributor.authorTekalp, A. M.en_US
dc.contributor.authorErdem, A. Tanjuen_US
dc.coverage.spatialSan Jose, CA, United Statesen_US
dc.date.accessioned2016-02-08T11:59:51Zen_US
dc.date.available2016-02-08T11:59:51Zen_US
dc.date.issued1997en_US
dc.departmentDepartment of Electrical and Electronics Engineeringen_US
dc.descriptionDate of Conference: 8-14 February 1997en_US
dc.descriptionConference Name: SPIE Electronic Imaging'97, 1997en_US
dc.description.abstractIn this paper, we describe a method for temporal tracking of video objects in video clips. We employ a 2D triangular mesh to represent each video object, which allows us to describe the motion of the object by the displacements of the node points of the mesh, and to describe any intensity variations by the contrast and brightness parameters estimated for each node point. Using the temporal history of the node point locations, we continue tracking the nodes of the 2D mesh even when they become invisible because of self-occlusion or occlusion by another object. Uncovered parts of the object in the subsequent frames of the sequence are detected by means of an active contour which contains a novel shape preserving energy term. The proposed shape preserving energy term is found to be successful in tracking the boundary of an object in video sequences with complex backgrounds. By adding new nodes or updating the 2D triangular mesh we incrementally append the uncovered parts of the object detected during the tracking process to the one of the objects to generate a static mosaic of the object. Also, by texture mapping the covered pixels into the current frame of the video clip we can generate a dynamic mosaic of the object. The proposed mosaicing technique is more general than those reported in the literature because it allows for local motion and out-of-plane rotations of the object that results in self-occlusions. Experimental results demonstrate the successful tracking of the objects with deformable boundaries in the presence of occlusion.en_US
dc.identifier.doi10.1117/12.263245en_US
dc.identifier.issn0277-786Xen_US
dc.identifier.urihttp://hdl.handle.net/11693/27700en_US
dc.language.isoEnglishen_US
dc.publisherSPIEen_US
dc.relation.isversionofhttp://dx.doi.org/10.1117/12.263245en_US
dc.source.titleProceedings of SPIE Vol. 3024, Visual Communications and Image Processing'97en_US
dc.subjectCommunicationen_US
dc.subjectDigital image storageen_US
dc.subjectImage communication systemsen_US
dc.subjectImage processingen_US
dc.subjectImaging systemsen_US
dc.subjectMotion estimationen_US
dc.subjectVideo camerasen_US
dc.subjectVideo recordingen_US
dc.subjectVisual communicationen_US
dc.subjectActive contoursen_US
dc.subjectComplex backgroundsen_US
dc.subjectCurrent framesen_US
dc.subjectDeformable boundariesen_US
dc.subjectIntensity variationsen_US
dc.subjectLocal motionsen_US
dc.title2-D triangular mesh-based mosaicking for object tracking in the presence of occlusionen_US
dc.typeConference Paperen_US

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