Source: Pattern Recognition and Artificial Intelligence
Author: Zhang Tianlu, Zhang Qiang
Summary
RGB-Thermal (RGB-T) modal target tracking aims to use the complementarity of RGB and thermal infrared data to achieve robust tracking of targets. At present, there are many cutting-edge achievements in RGB-T target tracking based on deep learning, but There is a lack of systematic and comprehensive review literature. Therefore, this paper first expounds the challenges faced by RGB-T target tracking, and analyzes and summarizes the current mainstream RGB-T target tracking algorithms based on deep learning. Specifically, according to the adopted baseline (Baseline) Different methods, the existing methods are divided into target tracking algorithm based on Multi-domain Network (MDNet), target tracking algorithm based on Siamese Network (Siamese Network) and discriminative correlation filter (Discriminative Correlation Filter, DCF) Then, the commonly used data sets and evaluation indicators in RGB-T target tracking tasks are introduced, and the existing algorithms are compared on the commonly used data sets. Finally, the possible future development direction of the RGB-T target tracking field is pointed out. Service Recommend this article to a friendAdd to my bookshelfAdd to citation managerE-mail AlertRSSAuthorRelated articlesZhang TianluZhang Qiang
Key words
Object Tracking, RGB-Thermal Infrared (RGB-T), Deep Learning, Multi-Domain Networks, Siamese Networks, Discriminative Correlation Filtering
1 Challenges of RGB-T object tracking research
2 RGB-T target tracking algorithm based on deep learning
3 RGB-T object tracking data set and evaluation index
4 Algorithm comparison results
Disclaimer: The articles and pictures reproduced on the official account are for non-commercial educational and scientific research purposes for your reference and discussion, and do not mean to support their views or confirm the authenticity of their content. The copyright belongs to the original author. If the reprinted manuscript involves copyright and other issues, please contact us immediately to delete it.
"Artificial Intelligence Technology and Consulting" released