Discriminative Fusion Correlation Learning for Visible and Infrared Tracking
Published 2019 View Full Article
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Title
Discriminative Fusion Correlation Learning for Visible and Infrared Tracking
Authors
Keywords
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Journal
MATHEMATICAL PROBLEMS IN ENGINEERING
Volume 2019, Issue -, Pages 1-11
Publisher
Hindawi Limited
Online
2019-05-16
DOI
10.1155/2019/2437521
References
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Related references
Note: Only part of the references are listed.- Visual tracking via salient feature extraction and sparse collaborative model
- (2018) Yang Liu et al. AEU-INTERNATIONAL JOURNAL OF ELECTRONICS AND COMMUNICATIONS
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- (2018) Yao Sui et al. IEEE Transactions on Cybernetics
- Multi-layer convolutional network-based visual tracking via important region selection
- (2018) Xiao Yun et al. NEUROCOMPUTING
- Synthetic Data Generation for End-to-End Thermal Infrared Tracking
- (2018) Lichao Zhang et al. IEEE TRANSACTIONS ON IMAGE PROCESSING
- Correlation-Based Tracker-Level Fusion for Robust Visual Tracking
- (2017) Madan Kumar Rapuru et al. IEEE TRANSACTIONS ON IMAGE PROCESSING
- Dual Deep Network for Visual Tracking
- (2017) Zhizhen Chi et al. IEEE TRANSACTIONS ON IMAGE PROCESSING
- Occlusion-Aware Real-Time Object Tracking
- (2017) Xingping Dong et al. IEEE TRANSACTIONS ON MULTIMEDIA
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- (2017) Martin Danelljan et al. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE
- Scale Adaptive Kernelized Correlation Filter Tracker with Feature Fusion
- (2017) Tongxue Zhou et al. MATHEMATICAL PROBLEMS IN ENGINEERING
- Visual Tracking Based on Complementary Learners with Distractor Handling
- (2017) Suryo Adhi Wibowo et al. MATHEMATICAL PROBLEMS IN ENGINEERING
- Robust Adaptive Fusion Tracking Based on Complex Cells and Keypoints
- (2017) Sixian Chan et al. IEEE Access
- Learning Collaborative Sparse Representation for Grayscale-Thermal Tracking
- (2016) Chenglong Li et al. IEEE TRANSACTIONS ON IMAGE PROCESSING
- Visible and infrared tracking based on multi-view multi-kernel fusion model
- (2016) Xiao Yun et al. OPTICAL REVIEW
- Temporal Restricted Visual Tracking Via Reverse-Low-Rank Sparse Learning
- (2016) Yehui Yang et al. IEEE Transactions on Cybernetics
- High-Speed Tracking with Kernelized Correlation Filters
- (2015) Joao F. Henriques et al. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE
- A compressive tracking based on time-space Kalman fusion model
- (2015) Xiao Yun et al. Science China-Information Sciences
- Real-Time Object Tracking Via Online Discriminative Feature Selection
- (2013) Kaihua Zhang et al. IEEE TRANSACTIONS ON IMAGE PROCESSING
- Fusion tracking in color and infrared images using joint sparse representation
- (2012) HuaPing Liu et al. Science China-Information Sciences
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