Publication
Trajectory occlusion handling with multiple view distance minimization clustering
Journal Article (2008)
Journal
Optical Engineering
Pages
2021-2029
Volume
47
Doc link
http://dx.doi.org/10.1117/1.2909665
File
Authors
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Mozerov, Mikhail
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Amato, Ariel
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Roca i Marva, Francesc Xavier
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Gonzàlez Sabaté, Jordi
Projects associated
Abstract
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.
Categories
computer vision.
Author keywords
motion analysis, trajectory tracking, occlusion handling
Scientific reference
M. Mozerov, A. Amato, F. Xavier Roca and J. Gonzàlez. Trajectory occlusion handling with multiple view distance minimization clustering. Optical Engineering, 47: 2021-2029, 2008.
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