A parallel search strategy based on sparse representation for infrared target tracking

DOI10.3390/A8030529zbMath1461.94060OpenAlexW2116444581MaRDI QIDQ1736682

Ping Fu, Shouda Jiang, Zhen Shi, Chang'an Wei

Publication date: 26 March 2019

Published in: Algorithms (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.3390/a8030529

zbMATH Keywords

parallel searchsparse representationinfrared target tracking

Mathematics Subject Classification ID

Searching and sorting (68P10) Parallel algorithms in computer science (68W10) Detection theory in information and communication theory (94A13) Machine vision and scene understanding (68T45)

Cites Work

• Unnamed Item
• Incremental tensor subspace learning and its applications to foreground segmentation and tracking
• Robust visual tracking via consistent low-rank sparse learning

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