Paper Info
Title
Multiple hypothesis tracking based on the Shiryayev sequential probability ratio test.
Abstract
To date, Wald sequential probability ratio test (WSPRT) has been widely applied to track management of multiple hypothesis tracking (MHT). But in a real situation, if the false alarm spatial density is much larger than the new target spatial density, the original track score will be very close to the deletion threshold of the WSPRT. Consequently, all tracks, including target tracks, may easily be deleted, which means that the tracking performance is sensitive to the tracking environment. Meanwhile, if a target exists for a long time, its track will have a high score, which will make the track survive for a long time even after the target has disappeared. In this paper, to consider the relationship between the hypotheses of the test, we adopt the Shiryayev SPRT (SSPRT) for track management in MHT. By introducing a hypothesis transition probability, the original track score can increase faster, which solves the first problem. In addition, by setting an independent SSPRT for track deletion, the track score can decrease faster, which solves the second problem. The simulation results show that the proposed SSPRT-based MHT can achieve better tracking performance than MHT based on the WSPRT under a high false alarm spatial density.
Year
DOI
Venue
2016
10.1007/s11432-016-5570-4
SCIENCE CHINA Information Sciences
Keywords
Field
DocType
multiple target tracking, multiple hypothesis tracking, Shiryayev sequential probability ratio test, track management, track score, 多目标跟踪, 多假设跟踪, Shiryayev序贯概率比检测, 航迹管理, 航迹得分
Spatial density,Multiple hypothesis tracking,False alarm,Computer science,Control theory,Algorithm,Statistics,Sequential probability ratio test
Journal
Volume
Issue
ISSN
59
12
1869-1919
Citations 
PageRank 
References 
0
0.34
8
Authors
4
Name
Order
Citations
PageRank
Jinbin Fu100.34
Jinping Sun25916.15
Songtao Lu38419.52
Yingjing Zhang400.68