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ASME Press Select Proceedings
International Conference on Computer Technology and Development, 3rd (ICCTD 2011)
ISBN:
9780791859919
No. of Pages:
2000
Publisher:
ASME Press
Publication date:
2011
eBook Chapter
263 A Study on Multi-Target Tracking and PHD Filter
By
Peng Qi
,
Peng Qi
Center for Autonomous Systems School of Computer Science and Communication,
KTH Royal Institute of Technology
, 10044, Stockholm
, Sweden
; pqi@kth.se
Search for other works by this author on:
Lu Wang
Lu Wang
Center for Autonomous Systems School of Computer Science and Communication,
KTH Royal Institute of Technology
, 10044, Stockholm
, Sweden
; luwang@kth.se
Search for other works by this author on:
Page Count:
6
-
Published:2011
Citation
Qi, P, & Wang, L. "A Study on Multi-Target Tracking and PHD Filter." International Conference on Computer Technology and Development, 3rd (ICCTD 2011). Ed. Zhou, J. ASME Press, 2011.
Download citation file:
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 1Âlateral and vertical thinking1Â 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.
Topics:
Filters
Abstract
Key Words
1.Introduction
2. Problem Formulation
3.Particle PHD Filter
4.Simulation Results and Analysis
5.Conclusions
References
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