Dim moving target tracking algorithm based on particle discriminative sparse representation-Reference-Cited by-同舟云学术

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Dim moving target tracking algorithm based on particle discriminative sparse representation

Published:2016-03 Issue: Volume:75 Page:100-106
ISSN:1350-4495
Container-title:Infrared Physics & Technology
language:en
Short-container-title:Infrared Physics & Technology

Author:

Li Zhengzhou,Li Jianing,Ge Fengzeng,Shao Wanxing,Liu Bing,Jin Gang

Funder

National Natural Science Foundation of China

2013 Innovative Team Construction Project of Chongqing Universities

Chinese Academy of Sciences Key Laboratory of Beam Control Fund

China Postdoctoral Science Foundation

Chongqing Postdoctoral Science Foundation

Publisher

Elsevier BV

Subject

Condensed Matter Physics,Atomic and Molecular Physics, and Optics,Electronic, Optical and Magnetic Materials

Reference24 articles.

1. Sequential along-track integration for early detection of moving targets;Grossi;IEEE Trans. Signal Process.,2008

2. Object tracking using an adaptive Kalman filter combined with mean shift;Li;Opt. Eng.,2010

3. Tracking in clutter with nearest neighbor filters: analysis and performance;Li;IEEE Trans. Aerosp. Electron. Syst.,1996

4. Point target probabilistic multiple hypothesis tracking;Song;IET Radar Sonar Navig.,2011

5. Track initiation foe dim small moving infrared target based on spatial-temporal hypothesis testing;Li;J. Infrared Milli. Terahertz Waves,2009

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2. Infrared Small Target Tracking Based on OSTrack Model;IEEE Access;2023

3. Small Aerial Target Detection for Airborne Infrared Detection Systems Using LightGBM and Trajectory Constraints;IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing;2021

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