| Matching trajectories between video sequences by exploiting a sparse projective invariant representation. | |
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MedLine Citation:
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PMID: 20075475 Owner: NLM Status: PubMed-not-MEDLINE |
Abstract/OtherAbstract:
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Identifying correspondences between trajectory segments observed from nonsynchronized cameras is important for reconstruction of the complete trajectory of moving targets in a large scene. Such a reconstruction can be obtained from motion data by comparing the trajectory segments and estimating both the spatial and temporal alignments. Exhaustive testing of all possible correspondences of trajectories over a temporal window is only viable in the cases with a limited number of moving targets and large view overlaps. Therefore, alternative solutions are required for situations with several trajectories that are only partially visible in each view. In this paper, we propose a new method that is based on view-invariant representation of trajectories, which is used to produce a sparse set of salient points for trajectory segments observed in each view. Only the neighborhoods at these salient points in the view--invariant representation are then used to estimate the spatial and temporal alignment of trajectory pairs in different views. It is demonstrated that, for planar scenes, the method is able to recover with good precision and efficiency both spatial and temporal alignments, even given relatively small overlap between views and arbitrary (unknown) temporal shifts of the cameras. The method also provides the same capabilities in the case of trajectories that are only locally planar, but exhibit some nonplanarity at a global level. |
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Authors:
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Walter Nunziati; Stan Sclaroff; Alberto Del Bimbo |
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Publication Detail:
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Type: Journal Article; Research Support, U.S. Gov't, Non-P.H.S. |
Journal Detail:
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Title: IEEE transactions on pattern analysis and machine intelligence Volume: 32 ISSN: 1939-3539 ISO Abbreviation: IEEE Trans Pattern Anal Mach Intell Publication Date: 2010 Mar |
Date Detail:
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Created Date: 2010-01-15 Completed Date: 2010-03-10 Revised Date: - |
Medline Journal Info:
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Nlm Unique ID: 9885960 Medline TA: IEEE Trans Pattern Anal Mach Intell Country: United States |
Other Details:
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Languages: eng Pagination: 517-29 Citation Subset: - |
Affiliation:
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Media Integration and Communication Center, Firenze, Italy. nunziati@dsi.unifi.it |
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From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
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