English(EN) TriNetra: Thermal-Reliability-Guided RGB-Thermal Fusion and Tracking for Surveillance

新的TriNetra框架增强了RGB-热融合以实现可靠监控

作者 PulseAugur 编辑部 · [1 个来源] · 2026-11-09 05:00

研究人员开发了TriNetra，一个新颖的RGB-热融合与跟踪框架，旨在提高监控系统的可靠性。该系统通过计算热可靠性系数（TRC）来动态调整热传感器数据的影响，从而解决了当前检测器的局限性。当热传感器因饱和或模糊而退化时，TriNetra的自适应门控机制能够维持性能，优于固定门控方法。该框架集成了修改后的YOLOv8m检测器、基于ByteTrack的跟踪器和行为分析器，在M3FD基准测试中展示了更高的精度和召回率。 AI

影响通过自适应融合RGB和热数据，提高了监控系统的可靠性，在传感器退化条件下改善了性能。

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arXiv cs.CV TIER_1 English(EN) · Sadique Khatib, Aditya Ahirrao, Vedant Sonawane, Disha Kapse, Y. D. Bhise · 2026-11-09 05:00

TriNetra：面向监控的热可靠性引导RGB-热融合与跟踪

arXiv:2611.09725v1 Announce Type: new Abstract: Visible cameras fail at night and thermal sensors fail under saturation, blur or loss of contrast, yet most RGB-thermal (RGB-T) detectors mix the two streams with fixed weights and cannot tell when one modality has become unreliable…

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TriNetra：面向监控的热可靠性引导RGB-热融合与跟踪

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