mlsanityData to 14 Oct 2026

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

arXiv 2311.05725 ↗First posted 9 Nov 2023cs.CVcited by 7

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Abstract (arXiv)

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 degree. We propose an end-to-end system evaluated on diverse datasets, including the challenging Biometric Recognition and Identification at Range (BRIAR) dataset. Our approach involves pre-training the detector on common image datasets and fine-tuning it on BRIAR's 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 TAR@1%FAR of 54.09%.

Key facts. Cited by 7 papers in the map (data through 14 Oct 2026). Builds on 43 of its 78 references that are in the map. First posted on arXiv 9 Nov 2023.

Builds on

43 of 78 references.

References · 43

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31 more
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Built on by

Cited by year

Citing papers per year: 2023: 1; 2024: 3; 2025: 3.

7 papers.

  1. 2024Instant Adversarial Purification with Adversarial Consistency Distillationcited by 14
  2. 2025A Quality-Guided Mixture of Score-Fusion Experts Framework for Human Recognitioncited by 11
  3. 2024From Data to Insights: A Covariate Analysis of the IARPA BRIAR Dataset for Multimodal Biometric Recognition Algorithms at Altitude and Rangecited by 6
  4. 2025Dissecting Human Body Representations in Deep Networks Trained for Person Identificationcited by 4
  5. 2024The Paradox of Motion: Evidence for Spurious Correlations in Skeleton-based Gait Recognition Modelscited by 3
  6. 2023VILLS -- Video-Image Learning to Learn Semantics for Person Re-Identificationcited by 2
  7. 2025Unconstrained Body Recognition at Altitude and Range: Comparing Four Approachescited by 2