Low-rank representation-based object tracking using multitask feature learning with joint sparsity

DOI10.1155/2014/147353zbMath1470.68226OpenAlexW2027826561WikidataQ59035502 ScholiaQ59035502MaRDI QIDQ1722184

Hyuncheol Kim, Joonki Paik

Publication date: 14 February 2019

Published in: Abstract and Applied Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1155/2014/147353

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Machine vision and scene understanding (68T45)

Uses Software

• PASCAL VOC

Cites Work

• Incremental tensor subspace learning and its applications to foreground segmentation and tracking
• An alternating direction algorithm for matrix completion with nonnegative factors
• Linear convergence of iterative soft-thresholding
• Convex multi-task feature learning
• Robust visual tracking via consistent low-rank sparse learning
• Robust principal component analysis?
• A Singular Value Thresholding Algorithm for Matrix Completion
• Online Object Tracking With Sparse Prototypes

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