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Evaluation of the GM-PHD filter for multi-target tracking with a stereo vision system
Responsible organisation
2011 (English)Conference paper, (Refereed) Published
Abstract [en]

This paper evaluates the performance of the Gaussian Mixture Probability Hypothesis Density (GM-PHD) filter for tracking multiple targets in an intelligent vision system. A stereo vision camera is used to get the left and right image sequences in order to extract 3-D coordinates of the targets' positions in the real world scene. The 3-D trajectories of the targets are tracked by a GM-PHD filter. Moreover, the label continuity of the targets is guaranteed by a new method of labeling. Motion speed and angular velocity are proposed for the evaluation of the accuracy and label continuity of the filter in the implemented 3-D test motion model. The simulation results for two moving targets show that the proposed system not only robustly tracks them, but also maintains the label continuity of the two targets.

Place, publisher, year, edition, pages
Binjiang, Hangzhou: IEEE , 2011.
Keyword [en]
Performance Evaluation, Probability Hypothesis Density, Stereo Vision, Trajectory Tracking
National Category
Civil Engineering
Identifiers
URN: urn:nbn:se:bth-7403DOI: 10.1109/IMTC.2011.5944129ISI: 000297171900318Local ID: oai:bth.se:forskinfoCDD7E7473EF6A943C1257974003822DEISBN: 978-142447935-1 (print)OAI: oai:DiVA.org:bth-7403DiVA: diva2:835011
Conference
IEEE International Instrumentation and Measurement Technology Conference, I2MTC
Available from: 2012-09-18 Created: 2011-12-28 Last updated: 2015-06-30Bibliographically approved

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Kulesza, Wlodek
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CiteExportLink to record
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Citation style
  • apa
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