Learning Adaptive Discriminative Correlation Filters via Temporal Consistency Preserving Spatial Feature Selection for Robust Visual Object Tracking

DOI10.1109/TIP.2019.2919201OpenAlexW3097992810WikidataQ92561584 ScholiaQ92561584MaRDI QIDQ5238627

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

Publication date: 28 October 2019

Published in: IEEE Transactions on Image Processing (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1807.11348

Mathematics Subject Classification ID

Information and communication theory, circuits (94-XX)

Related Items (5)

Robust visual object tracking using context-based spatial variation via multi-feature fusion ⋮ Discriminative visual tracking via spatially smooth and steep correlation filters ⋮ Learning spatial variance-key surrounding-aware tracking via multi-expert deep feature fusion ⋮ Adaptive channel selection for robust visual object tracking with discriminative correlation filters ⋮ Pointwise mutual information sparsely embedded feature selection

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