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

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Authors

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.