Object trackingRGB-T fusion trackingDynamic Siamese networksDeep learningImage fusionThe task of object tracking is very important since its various applications. However, most object tracking methods are based on visible images, which may fail when visible images are unreliable, for example when the ...
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. -
Awesome RGB-T Feature Fusion A collection of RGB-T-Feature-Fusion methods (deep learning methods mainly), codes, and datasets. The main directions involved are Multispectral Pedestrian, RGB-T Vehicle Detection, RGB-T Crowd Counting, RGB-T Fusion Tracking. Feel free to star and fork! We will...
In visible and thermal infrared tracking(RGB-T), to effectively merge these two modalities building on traditional tracking techniques, this study introduces an attention-based RGB-T tracking approach based on the attention mechanism. This method emp
Attribute-based Progressive Fusion Network for RGBT Tracking 作者:肖云 杨蒙蒙 李成龙* 刘磊汤进 论文下载: https://github.com/yangmengmeng1997/APFNet/tree/main/Paper 代码开放: https://github.com/yangmengmeng1997/APFNet RGBT目标跟踪是利用两个模态之间的互补信息来更好地完成跟踪。现有的模型通常是设计...
Due to the complementarity of RGB and thermal data, RGBT tracking has received more and more attention in recent years because it can effectively solve the degradation of tracking performance in dark environments and bad weather conditions. How to effectively fuse the information from RGB and therma...
T-234, show that the network, with high tracking precision and success rate, can cope with complex tracking scenarios and has higher tracking performance compared with other networks. Key words:object tracking; RGB-Thermal; multi-scale features; mod...
In this section, we will briefly introduce RGB-T fusion trackers using different network architectures. Methodology We have designed the MFATrack tracker specifically for RGB-T single-object tracking, which consists of two key components: the multi-scale feature extraction with fusion module and the...
[0003] 在多模态融合方法上《,Multimodal fusion for end‑to‑end rgb‑t tracking》 以及公布号为CN111476823A的现有发明专利申请文献《基于多挑战交互学习的实时RGBT跟 踪方法及装置》包括以下步骤;S1、训练网络模型;所述网络模型包括依次串联的第一主干 网络模块、第二主干网络模块、第三主干网络模块、自...
In recent years, many RGB-THERMAL tracking methods have been proposed to meet the needs of single object tracking under different conditions. However, these trackers are based on ANCHOR-BASED algorithms and feature cross-correlation operations, making it