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Please use this identifier to cite or link to this item: http://eprint.iitd.ac.in/handle/2074/1901

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dc.contributor.authorSingh Manku, Gurmeet-
dc.contributor.authorJain, Pankaj-
dc.contributor.authorAggarwal, Amit-
dc.contributor.authorLalit Kumar-
dc.contributor.authorBanerjee, Subhashis-
dc.date.accessioned2006-06-29T10:47:21Z-
dc.date.available2006-06-29T10:47:21Z-
dc.date.issued1997-
dc.identifier.citationComputer Vision and Pattern Recognition, Proceedings, IEEE Computer Society Conference on, 704 - 709p.en
dc.identifier.urihttp://eprint.iitd.ac.in/dspace/handle/2074/1901-
dc.description.abstractA new object tracking algorithm based on affine structure has been developed and it is shown that its performance is better than that of a Kalman filter based correlation tracker. The algorithm is fast, reliable, viewpoint invariant, and insensitive to occlusion and/or individual corner disappearance or reappearance. Detailed experimental analysis on a long real image sequence is also presenteden
dc.format.extent137219 bytes-
dc.format.mimetypeapplication/pdf-
dc.language.isoenen
dc.subjectkalman filter based correlation trackeren
dc.titleObject tracking using affine structure for point correspondencesen
dc.typeArticleen
Appears in Collections:Computer Science and Engineering

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