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Recent advances in object tracking using hyperspectral videos: a survey

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Abstract

Short-Term Single-Object (STSO) tracking using Hyperspectral Videos (HSVs), which has become a hotspot recently, is a challenging task. Hyperspectral Object Tracking (HOT) makes full use of spatial and spectral information during the tracking process. In HOT, multiple features, including deep network features, have been combined with correlation filter methods, which increases time-consuming efficiency and tracking accuracy. However, redundant spectral information needs to be obtained in an effective way. In addition, there is currently no detailed investigation of HOT algorithms. Therefore, this survey studies the development of HOT algorithms in recent years. Specifically, several HSVs are listed, an investigation of HOT algorithms is conducted, and components of HOT are described in detail. Furthermore, several popular HOT algorithms, including our previous work BS-SiamPRN and AD-SiamRPN, are compared quantitatively and qualitatively. Finally, the research status of HOT is summarized, and future work has been described, which lays the foundation for future HOT or STSO referring to HSVs.

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Data Availibility Statement

Data are available from the corresponding author upon reasonable request.

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Acknowledgements

We are grateful to the workers who have made contributions to hyperspectral video tracking for providing us with novel tracking methods and accurate experimental results. This work is partially supported by the Fundamental Research Funds for the Central Universities (JUSRP121072), Jiangsu Engineering Research Center of Digital Twinning Technology for Key Equipment in Petrochemical Process (DTEC202202), the International Science and Technology Cooperation Project of Jiangsu Province (BZ2020069), and the Major Program of University Natural Science Research of Jiangsu Province (21KJA520001).

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  1. Kun Qian and Jianlu Shen contributed equally to this work.

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  1. School of Artificial Intelligence and Computer Science, Jiangnan University, Wuxi, Jiangsu, China

    Kun Qian, Jianlu Shen, Shiqing Wang & Wenjun Sun

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  1. Kun Qian
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Qian, K., Shen, J., Wang, S. et al. Recent advances in object tracking using hyperspectral videos: a survey. Multimed Tools Appl 83, 56155–56181 (2024). https://doi.org/10.1007/s11042-023-17758-9

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