Squeezing the DCT to fight camouflage

DOI10.1007/S10851-019-00930-YzbMath1455.94017OpenAlexW2989839679WikidataQ126745867 ScholiaQ126745867MaRDI QIDQ2303271

Jesus Bescos, Marcos Escudero-Viñolo

Publication date: 3 March 2020

Published in: Journal of Mathematical Imaging and Vision (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s10851-019-00930-y

zbMATH Keywords

discrete cosine transformsparse representationscamouflage

Mathematics Subject Classification ID

Signal theory (characterization, reconstruction, filtering, etc.) (94A12) Image processing (compression, reconstruction, etc.) in information and communication theory (94A08)

Uses Software

• BSDS
• SIFT
• ViBe

Cites Work

• Unnamed Item
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• Optimally weightedL²distance for functional data
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• SuBSENSE: A Universal Change Detection Method With Local Adaptive Sensitivity
• A Fusion Framework for Camouflaged Moving Foreground Detection in the Wavelet Domain
• Moving Object Detection Using Tensor-Based Low-Rank and Saliently Fused-Sparse Decomposition
• Semi-Supervised Sparse Representation Based Classification for Face Recognition With Insufficient Labeled Samples
• Discrete Cosine Transform
• ViBe: A Universal Background Subtraction Algorithm for Video Sequences
• Foreground Object Detection Using Top-Down Information Based on EM Framework
• Sparse Image and Signal Processing
• Fast lighting independent background subtraction

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