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A Multiple Hypothesis Tracking Method for Extended Target Tracking

Authors: Guan Zhai; Huadong Meng; Zhiwen Zhong; Xiqin Wang;

A Multiple Hypothesis Tracking Method for Extended Target Tracking

Abstract

This paper presents a multiple hypothesis tracking (MHT) method for tracking extended targets. Measurements of extended target can provide much new information such as the shape and the size of the target, as well as the kinematic state. The new proposed MHT method can make use of the extra information, especially the target extent, to evaluate the tracks. We demonstrate the performance of the method in the case of tracking an extended target whose shape is modeled as an ellipse. The new proposed method has better performance than the conventional MHT.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
1
Average
Average
Average
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