Bounding multiple Gaussians uncertainty with application to object tracking

DOI10.1007/S11263-016-0880-YzbMath1398.68603OpenAlexW2253821378MaRDI QIDQ1991491

Rongrong Ji, Jianzhuang Liu, Vittorio Murino, Zhigang Li, Baochang Zhang, Alessandro Perina

Publication date: 30 October 2018

Published in: International Journal of Computer Vision (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s11263-016-0880-y

zbMATH Keywords

uncertainty principleobject trackingMGU

Mathematics Subject Classification ID

Machine vision and scene understanding (68T45)

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Cites Work

• Incremental tensor subspace learning and its applications to foreground segmentation and tracking
• A survey of outlier detection methodologies
• Discrete multi-Gabor expansions
• Visual Tracking via Discriminative Sparse Similarity Map
• An uncertainty principle for real signals in the fractional Fourier transform domain

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