Multispectral Person Re-Identification Using GAN for Color-to-Thermal Image Translation
Vladimir V. Kniaz⁎,†; Vladimir A. Knyaz⁎,† ⁎State Res. Institute of Aviation Systems (GosNIIAS), Moscow, Russia†Moscow Institute of Physics and Technology (MIPT), Moscow, Russia
Abstract
We propose a ThermalGAN framework for cross-modality color-thermal person re-identification (ReID). We use a stack of generative adversarial networks (GANs) to translate a single color probe image to a multimodal thermal probe set. We use thermal histograms and feature descriptors as a thermal signature. We collected a large-scale multispectral ThermalWorld dataset for extensive training of our GAN model. In total the dataset includes 20,216 color-thermal image pairs, ...
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