At present, the mainstream visible pedestrian detector is easily affected by the ambient
lighting, the complex background, and the pedestrians distance. While the infrared images
(IR) can compensate for the defects of visible images because of its insensitivity to
illumination conditions. Based on the Deep Convolutional Neural Network (DCNN), we
proposed a multispectral pedestrian detector that combines visual-optical (VIS) image and
infrared (IR) image. We carefully designed three DCNN fusion architectures to study the …