RGB-T image analysis technology and application: A survey

Kechen Song, Ying Zhao, Liming Huang*, Yunhui Yan*, Qinggang Meng

*此作品的通讯作者

科研成果: 期刊稿件短篇评述同行评审

34 引用 (Scopus)

摘要

RGB-Thermal infrared (RGB-T) image analysis has been actively studied in recent years. In the past decade, it has received wide attention and made a lot of important research progress in many applications. This paper provides a comprehensive review of RGB-T image analysis technology and application, including several hot fields: image fusion, salient object detection, semantic segmentation, pedestrian detection, object tracking, and person re-identification. The first two belong to the preprocessing technology for many computer vision tasks, and the rest belong to the application direction. This paper extensively reviews 400+ papers spanning more than 10 different application tasks. Furthermore, for each specific task, this paper comprehensively analyzes the various methods and presents the performance of the state-of-the-art methods. This paper also makes an in-deep analysis of challenges for RGB-T image analysis as well as some potential technical improvements in the future.

源语言英语
文章编号105919
期刊Engineering Applications of Artificial Intelligence
120
DOI
出版状态已出版 - 4月 2023
已对外发布

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Song, K., Zhao, Y., Huang, L., Yan, Y., & Meng, Q. (2023). RGB-T image analysis technology and application: A survey. Engineering Applications of Artificial Intelligence, 120, 文章 105919. https://doi.org/10.1016/j.engappai.2023.105919