Adaptive channel selection for robust visual object tracking with discriminative correlation filters

DOI10.1007/S11263-021-01435-1zbMath1483.68450OpenAlexW3127796792MaRDI QIDQ2054400

Josef Kittler, Zhenhua Feng, Xiao-Jun Wu, Tianyang Xu

Publication date: 2 December 2021

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

Full work available at URL: https://doi.org/10.1007/s11263-021-01435-1

zbMATH Keywords

adaptive elastic netadaptive channel selectiondiscriminative correlation filtersvisual object tracking

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Image processing (compression, reconstruction, etc.) in information and communication theory (94A08) Machine vision and scene understanding (68T45)

Related Items (1)

Discriminative visual tracking via spatially smooth and steep correlation filters

Uses Software

• MatConvNet
• ImageNet
• SURF
• AlexNet

Cites Work

• Unnamed Item
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• Robust visual tracking via consistent low-rank sparse learning
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• Encoding Color Information for Visual Tracking: Algorithms and Benchmark
• Good Features to Correlate for Visual Tracking
• Learning Adaptive Discriminative Correlation Filters via Temporal Consistency Preserving Spatial Feature Selection for Robust Visual Object Tracking
• Regularization and Variable Selection Via the Elastic Net
• Learning Color Names for Real-World Applications
• Model Selection and Estimation in Regression with Grouped Variables

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