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Título:
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Trajectory occlusion handling with multiple view distance minimization clustering
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Autor/a:
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Mozerov, Mikhail; Amato, Ariel; Roca, Francesc Xavier; Gonzàlez, Jordi
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Otros autores:
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Institut de Robòtica i Informàtica Industrial |
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Abstract:
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A robust and efficient method for overcoming the negative effects of long-time occlusion in the tracking process is presented. The proposed approach is based on the matching of multiple trajectories in time. Trajectories are sets of 2-D points in time and in a joint ground plane of the world coordinate system. In order to avoid mismatches due to possible measurement outliers, we introduce an integral distance between compared trajectories. The proposed method can also be considered as an interpolation algorithm for a disconnected trajectory during the blackout. Thus this technique solves one of the most difficult problems of occlusion handling: the matching of two unconnected parts of the same trajectory. |
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Abstract:
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Peer Reviewed |
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Materia(s):
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-Àrees temàtiques de la UPC::Enginyeria de la telecomunicació::Processament del senyal::Processament de la imatge i del senyal vídeo
-Computer vision
-motion analysis
-trajectory tracking
-occlusion handling
-Visió per ordinador
-Classificació INSPEC::Pattern recognition::Computer vision |
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Derechos:
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Tipo de documento:
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Artículo |
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Editor:
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S P I E - International Society for Optical Engineering
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Compartir:
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