Dense structural learning for infrared object tracking at 200+ Frames per Second-Reference-Cited by-同舟云学术

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Dense structural learning for infrared object tracking at 200+ Frames per Second

Published:2017-12 Issue: Volume:100 Page:152-159
ISSN:0167-8655
Container-title:Pattern Recognition Letters
language:en
Short-container-title:Pattern Recognition Letters

Author:

Yu Xianguo,Yu Qifeng,Shang Yang,Zhang Hongliang

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition,Signal Processing,Software

Reference19 articles.

1. Channel coded distribution field tracking for thermal infrared imagery;Berg,2016

2. Staple: complementary learners for real-time tracking;Bertinetto,2016

3. Visual object tracking using adaptive correlation filters;Bolme,2010

4. Solving multiclass support vector machines with larank;Bordes,2007

5. Learning spatially regularized correlation filters for visual tracking;Danelljan,2015

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1. Thermal Infrared Target Tracking: A Comprehensive Review;IEEE Transactions on Instrumentation and Measurement;2024

2. Infrared Object-Tracking Algorithm With Temporal Features Fusion Siamese Network;IEEE Transactions on Instrumentation and Measurement;2024

3. Exploring reliable infrared object tracking with spatio-temporal fusion transformer;Knowledge-Based Systems;2024-01

4. Exploring fusion strategies for accurate RGBT visual object tracking;Information Fusion;2023-11

5. Multi-Object Tracking, Segmentation and Validation in Thermal Images;2023 IEEE Intelligent Vehicles Symposium (IV);2023-06-04

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