Improved GMPHD Tracker with Delayed Decision

摘要：

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.

关键词： GMPHD Tracker Delayed Decision pruning

作者: Yan Wang Huadong Meng Hao Zhang Xiqin Wang

作者单位: Department of Electronic Engineering, Tsinghua University, Beijing, P.R.China

会议类型: 国际会议

会议名称: 2010 IEEE 10th International Conference on Signal Processing(第十届信号处理国际会议 ICSP 2010)

会议地点: 北京

会议语种:英文

页码: 255-258

在线出版日期: 2010-08-24（万方平台首次上网日期，不代表论文的发表时间）