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A precise approach to tracking dim-small targets using spectral fingerprint features |
Hao SHENG1,2, Chao LI1,2( ), Yuanxin OUYANG1,3, Zhang XIONG1,2 |
1. School of Computer Science and Engineering, Beihang University, Beijing 100191, China; 2. Research Institute of Beihang University in Shenzhen, Shenzhen 518057, China; 3. State Key Laboratory of Software Development Environment, Beihang University, Beijing 100191, China |
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Abstract A precise method for accurately tracking dimsmall targets, based on spectral fingerprint is proposed where traditional full color tracking seems impossible. A fingerprint model is presented to adequately extract spectral features. By creating a multidimensional feature space and extending the limited RGB information to the hyperspectral information, the improved precise tracking model based on a nonparametric kernel density estimator is built using the probability histogram of spectral features. A layered particle filter algorithm for spectral tracking is presented to avoid the object jumping abruptly. Finally, experiments are conducted that show that the tracking algorithm with spectral fingerprint features is accurate, fast, and robust. It meets the needs of dim-small target tracking adequately.
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Keywords
dim-small target
precise tracking
spectral fingerprint features
LPF algorithm for spectral tracking
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Corresponding Author(s):
LI Chao,Email:licc@buaa.edu.cn
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Issue Date: 01 October 2012
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