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西北工业大学 国内
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Real-time infrared target tracking based on ℓ
1
minimization and compressive features
Ying Li
, Pengcheng Li, Qiang Shen
计算机学院
Northwestern Polytechnical University Xian
Aberystwyth University
科研成果
:
期刊稿件
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同行评审
31
引用 (Scopus)
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探究 'Real-time infrared target tracking based on ℓ
1
minimization and compressive features' 的科研主题。它们共同构成独一无二的指纹。
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Engineering
Tracking (Position)
100%
Target Tracking
100%
Tracking Algorithm
66%
Appearance Model
66%
Experimental Result
33%
Image Sequence
33%
Signal-to-Noise Ratio
33%
Computational Cost
33%
Ground Target
33%
Military Application
33%
Measurement Matrix
33%
Computer Science
Tracking (Position)
100%
Tracking Algorithm
66%
Appearance Model
66%
Experimental Result
33%
Dimensional Feature
33%
Computational Cost
33%
Sparse Representation
33%
Tracking Method
33%
Noise-to-Signal Ratio
33%
Reconstruction Error
33%
Real Time Performance
33%
Image Sequence
33%
Matrix Measurement
33%