DocumentCode :
3389544
Title :
Improved GMPHD tracker with delayed decision
Author :
Wang, Yan ; Meng, Huadong ; Zhang, Hao ; Wang, Xiqin
Author_Institution :
Dept. of Electron. Eng., Tsinghua Univ., Beijing, China
fYear :
2010
fDate :
24-28 Oct. 2010
Firstpage :
255
Lastpage :
258
Abstract :
The Gaussian mixture probability hypothesis density (GMPHD) filter was proposed to estimate the time-varying number of targets and their states, and GMPHD tracker even gives the identities of individual target state estimates, by recording the evolution of each Gaussian mixture component based GMPHD filter. However, in the presence of high density clutter and severe miss-detection, GMPHD tracker in the existing literature still has more or less defects, such as providing discontinuous track, or unsmooth track. In this paper, we propose and realize an improved GMPHD tracker with delayed decision, which implements a novel pruning and estimating scheme reducing the computational load and simultaneously provides more accurate target numbers and state estimates by a back scheme.
Keywords :
Gaussian processes; probability; state estimation; target tracking; time-varying filters; GMPHD filter; GMPHD tracker; Gaussian mixture component; Gaussian mixture probability hypothesis density; delayed decision; target state estimation; time-varying number; Clutter; Delay; Filtering; Joints; Noise measurement; Target tracking; Trajectory; Delayed Decision; GMPHD Tracker; pruning;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signal Processing (ICSP), 2010 IEEE 10th International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4244-5897-4
Type :
conf
DOI :
10.1109/ICOSP.2010.5655006
Filename :
5655006
Link To Document :
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