Thermal pedestrian detection based on different resolution visual image

Abstract

Thermal pedestrian detection is a core problem in computer vision. Usually, the corresponding visual image knowledge are used to improve the performance in thermal domain. However, existing methods always assume the same resolution between visible and thermal images. But in reality, there is a problem with this setting. Since thermal imaging acquisition equipment is expensive, the resolution of thermal images is always lower than visible images. To address this issue, we propose a new method, named as Disentanglement Then Restoration (DTR).