Whole-Body Detection, Identification and Recognition at Altitude and Range

Siyuan Huang, Ram Prabhakar Kathirvel, Yuxiang Guo, Chun Pong Lau, Rama Chellappa*

*Corresponding author for this work

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

Abstract

In this paper, we address the challenging task of whole-body biometric detection, recognition, and identification at distances of up to 500m and large pitch angles of up to 50.. We present an end-to-end system evaluated on the challenging Biometric Recognition and Identification at Altitude and Range (BRIAR) dataset. Our approach involves pre-training the detector on common image datasets and fine-tuning it on BRIARfs complex videos and images. After detection, we extract body images and employ a feature extractor for recognition. We conduct thorough evaluations under various conditions, such as different ranges and angles in indoor, outdoor, and aerial scenarios. Our method achieves an average F1 score of 98.29% at IoU = 0.7 and demonstrates strong performance in recognition accuracy and true acceptance rate at low false acceptance rates compared to existing models. On a test set of 100 subjects with 444 distractors, our model achieves a rank-20 recognition accuracy of 75.13% and a TAR1@%FAR of 54.09%. © 2024 IEEE.
Original languageEnglish
Pages (from-to)331-343
JournalIEEE Transactions on Biometrics, Behavior, and Identity Science
Volume7
Issue number3
Online published28 Oct 2024
DOIs
Publication statusPublished - Jul 2025

Research Keywords

  • Body recognition
  • Deep learning for biometric identification
  • Long-Range Biometric Identification

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