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Evaluation of the GM-PHD filter for multi-target tracking with a stereo vision system
Ansvarig organisation
2011 (Engelska)Konferensbidrag, Publicerat paper (Refereegranskat) 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.

Ort, förlag, år, upplaga, sidor
Binjiang, Hangzhou: IEEE , 2011.
Nyckelord [en]
Performance Evaluation, Probability Hypothesis Density, Stereo Vision, Trajectory Tracking
Nationell ämneskategori
Samhällsbyggnadsteknik
Identifikatorer
URN: urn:nbn:se:bth-7403DOI: 10.1109/IMTC.2011.5944129ISI: 000297171900318Lokalt ID: oai:bth.se:forskinfoCDD7E7473EF6A943C1257974003822DEISBN: 978-142447935-1 (tryckt)OAI: oai:DiVA.org:bth-7403DiVA, id: diva2:835011
Konferens
IEEE International Instrumentation and Measurement Technology Conference, I2MTC
Tillgänglig från: 2012-09-18 Skapad: 2011-12-28 Senast uppdaterad: 2015-06-30Bibliografiskt granskad

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  • apa
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Fler format
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  • de-DE
  • en-GB
  • en-US
  • fi-FI
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  • nn-NB
  • sv-SE
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  • html
  • text
  • asciidoc
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