LSOTB-TIR: A Large-Scale High-Diversity Thermal Infrared Single Object Tracking Benchmark

Unlike visual object tracking, thermal infrared (TIR) object tracking methods can track the target of interest in poor visibility such as rain, snow, and fog, or even in total darkness. This feature brings a wide range of application prospects for TIR object-tracking methods. However, this field lac...

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Bibliographic Details
Published in:IEEE transaction on neural networks and learning systems 2024-07, Vol.35 (7), p.9844-9857
Main Authors: Liu, Qiao, Li, Xin, Yuan, Di, Yang, Chao, Chang, Xiaojun, He, Zhenyu
Format: Article
Language:English
Subjects:
Benchmark testing
Benchmarks
Datasets
Deep learning
Feature extraction
Fog
Image color analysis
Infrared tracking
Object tracking
Optical tracking
Sequences
Target tracking
Thermal infrared (TIR) dataset
TIR object tracking
Tracking
tracking benchmark
Training
Visualization
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