An Adaptive PHD Filter for Multitarget Tracking with Multispectral Data Fusion

An Adaptive PHD Filter for Multitarget Tracking with Multispectral Data Fusion

In order to improve the detection and tracking performance of multiple targets from IR multispectral image sequences, the approach based on spectral fusion algorithm and adaptive probability hypothesis density (PHD) filter is proposed. Firstly, the nonstationary adaptive suppression method is propos...

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Bibliographic Details
Main Authors:	Guoliang Zhang, Chunling Yang, Yan Zhang
Format:	Article
Language:	English
Published:	Hindawi Limited 2015-01-01
Series:	Journal of Spectroscopy
Online Access:	http://dx.doi.org/10.1155/2015/179039

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