A Study On Multi-Target Tracking And Phd Filter
2012 (English)In: 2011 3rd International Conference On Computer Technology And Development (ICCTD 2011), Vol 2, New York: American Society of Mechanical Engineers , 2012, 781-786 p.Conference paper (Refereed)
The probability hypothesis density (PHD) filter as an efficient, practical and robust approach to solve the multi-target tracking problem has been successfully implemented. In this paper, a study on multi-target tracking problem and the PHD filter with "lateral and vertical thinking" is proposed. Firstly we list several difficulties (data association, time-varying number, and inaccessible control signal) for multi-target tracking; and then come up with the particle PHD filter as an alternative, while summarizing the algorithm with clarity and perception; finally simulation and analysis further prove the strengthens of PHD filter.
Place, publisher, year, edition, pages
New York: American Society of Mechanical Engineers , 2012. 781-786 p.
Multi-target tracking, Random finite sets, Bayesian filtering, Particle PHD filter
Engineering and Technology
IdentifiersURN: urn:nbn:se:kth:diva-104289ISI: 000307481500130ISBN: 978-0-7918-5991-9OAI: oai:DiVA.org:kth-104289DiVA: diva2:563899
3rd International Conference on Computer Technology and Development (ICCTD 2011),Chengdu,China, NOV 25-27, 2011
QC 201210312012-10-312012-10-312012-10-31Bibliographically approved