RegDB

Dongguk Body-based Person Recognition Database (DBPerson-Recog-DB1)

Dataset Information
Introduced
2020
License
Unknown
Homepage

Overview

RegDB is used for Visible-Infrared Re-ID which handles the cross-modality matching between the daytime visible and night-time infrared images. The dataset contains images of 412 people. It includes 10 color and 10 thermal images for each person.

Source: Person Recognition System Based on a Combination of Body Images from Visible Light and Thermal Cameras

Variants: RegDB

Associated Benchmarks

This dataset is used in 1 benchmark:

Recent Benchmark Submissions

Task Model Paper Date
Person Re-Identification CM-LSP-GE Cross-modal Local Shortest Path and … 2022-06-09

Research Papers

Recent papers with results on this dataset: