Object Fusion Tracking Based on Visible and Infrared Images Using Fully Convolutional Siamese Networks
Author:
Affiliation:
1. School of Aeronautics and Astronautics, Shanghai Jiao Tong University,Shanghai,China
2. College of Automation Engineering, Shanghai University of Electric Power,Shanghai,China
3. College of Civil Engineering, Tongji University,Shanghai,China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/8977236/9011156/09011253.pdf?arnumber=9011253
Reference34 articles.
1. ImageNet: A large-scale hierarchical image database
2. Relative Object Tracking Algorithm Based on Convolutional Neural Network for Visible and Infrared Video Sequences
3. Learning Modality-Consistency Feature Templates: A Robust RGB-Infrared Tracking System
4. Fast RGB-T Tracking via Cross-Modal Correlation Filters
5. Fusion of Infrared and Visible Sensor Images Based on Anisotropic Diffusion and Karhunen-Loeve Transform
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