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In computer vision, Re-identification (ReID) is a "hot" topic focused on identifying and tracking individuals (Person ReID) or vehicles (Vehicle ReID) across different camera views in a surveillance network. The core goal of feature learning

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thermal re-ID

In the world of visual surveillance, person re-identification (re-ID) is the task of matching individuals across different cameras and time stamps. But what happens when the lights go out, smoke fills the air, or the scene is cloaked in darkness? That’s where — or “ReID Hot” — comes in. This write-up explores how to adapt re-ID techniques for thermal infrared imagery, where every person glows with a unique heat signature. In computer vision, Re-identification (ReID) is a "hot"

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template that includes a section for vehicle heat signatures?

Person Re-identification (Re-ID)

: A computer vision task using deep learning to track or identify people across different camera views. The Reid Technique