yuanmaoxun/Awesome-RGBT-Fusion
A collection of deep learning based RGB-T-Fusion methods, codes, and datasets. The main directions involved are Multispectral Pedestrian Detection, RGB-T Aerial Object Detection, RGB-T Semantic Segmentation, RGB-T Crowd Counting, RGB-T Fusion Tracking.
This project helps operations engineers, security personnel, or surveillance specialists improve their ability to detect and track objects using both regular camera footage (RGB) and thermal imaging (T) data. It provides resources to build systems that take in paired RGB and thermal images and output enhanced detection or tracking of things like pedestrians, aerial objects, or crowds. This is primarily for those working with multispectral imaging for enhanced perception.
659 stars.
Use this if you need to build or research computer vision systems that perform object detection, segmentation, or tracking by combining visual light and thermal infrared imagery.
Not ideal if you are looking for a ready-to-use software solution for a general business problem, or if you only work with single-modality image data.
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659
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65
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Last pushed
Nov 17, 2025
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