Location-Aware and Regularization-Adaptive Correlation Filters for Robust Visual Tracking

Correlation filter (CF) has recently been widely used for visual tracking. The estimation of the search window and the filter-learning strategies is the key component of the CF trackers. Nevertheless, prevalent CF models separately address these issues in heuristic manners. The commonly used CF mode...

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Vydáno v:	IEEE transaction on neural networks and learning systems Ročník 32; číslo 6; s. 2430 - 2442
Hlavní autoři:	Liu, Risheng, Chen, Qianru, Yao, Yuansheng, Fan, Xin, Luo, Zhongxuan
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	United States IEEE 01.06.2021 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Témata:	Algorithms Artificial Intelligence Bilevel learning Correlation correlation filter (CF) Humans Image Processing, Computer-Assisted Learning location-aware Machine Learning Models, Neurological Neural Networks, Computer Optical tracking Optimization Pattern Recognition, Automated Problem solving Psychomotor Performance Regularization regularization-adaptive Robustness Searching Target tracking Task analysis visual tracking Visualization
ISSN:	2162-237X, 2162-2388, 2162-2388
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