Trajectory occlusion handling with multiple-view distance-minimization clustering

Mikhail Mozerov, Ariel Amato, Xavier Roca, Jordi Gonzàlez

Research output: Contribution to journalArticleResearchpeer-review

5 Citations (Scopus)

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. © 2008 Society of Photo-Optical Instrumentation Engineers.
Original languageEnglish
Article number047202
JournalOptical Engineering
Volume47
DOIs
Publication statusPublished - 1 Dec 2008

Keywords

  • motion analysis
  • occlusion handling
  • trajectory tracking

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