A Comprehensive Review of RGBT Tracking

Zhang, Haiping; Yuan, Di; Shu, Xiu; Li, Zhihui; Liu, Qiao; Chang, Xiaojun; He, Zhenyu; Shi, Guangming

doi:10.1109/tim.2024.3436098

IEEE Trans. Instrum. Meas.

2024

DOI: 10.1109/tim.2024.3436098

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A Comprehensive Review of RGBT Tracking

Haiping Zhang,

Di Yuan,

Xiu Shu

et al.

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Cited by 3 publications

References 150 publications

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Deep-learning-enabled single-shot high-frequency color fringe projection profilometry based on dual inner shifting-phase method

Zhang,

Jiang,

Lin

et al. 2025

Measurement

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Deep-learning-enabled single-shot high-frequency color fringe projection profilometry based on dual inner shifting-phase method

Zhang,

Jiang,

Lin

et al. 2025

Measurement

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Embedded UUV conformal MEMS vector hydrophone

Geng,

Zhang,

Liu

et al. 2024

Sensors and Actuators A: Physical

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Learning Unsupervised Cross-Domain Model for TIR Target Tracking

Shu,

Huang,

Qiu

et al. 2024

Mathematics

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The limited availability of thermal infrared (TIR) training samples leads to suboptimal target representation by convolutional feature extraction networks, which adversely impacts the accuracy of TIR target tracking methods. To address this issue, we propose an unsupervised cross-domain model (UCDT) for TIR tracking. Our approach leverages labeled training samples from the RGB domain (source domain) to train a general feature extraction network. We then employ a cross-domain model to adapt this network for effective target feature extraction in the TIR domain (target domain). This cross-domain strategy addresses the challenge of limited TIR training samples effectively. Additionally, we utilize an unsupervised learning technique to generate pseudo-labels for unlabeled training samples in the source domain, which helps overcome the limitations imposed by the scarcity of annotated training data. Extensive experiments demonstrate that our UCDT tracking method outperforms existing tracking approaches on the PTB-TIR and LSOTB-TIR benchmarks.

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A Comprehensive Review of RGBT Tracking

Cited by 3 publications

References 150 publications

Deep-learning-enabled single-shot high-frequency color fringe projection profilometry based on dual inner shifting-phase method

Deep-learning-enabled single-shot high-frequency color fringe projection profilometry based on dual inner shifting-phase method

Embedded UUV conformal MEMS vector hydrophone

Learning Unsupervised Cross-Domain Model for TIR Target Tracking

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