mlsanityData to 14 Oct 2026

Human Body Pose Estimation for Gait Identification: A Comprehensive Survey of Datasets and Models

arXiv 2305.13765 ↗First posted 23 May 2023cs.CV cs.AIcited by 5

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Abstract (arXiv)

Person identification is a problem that has received substantial attention, particularly in security domains. Gait recognition is one of the most convenient approaches enabling person identification at a distance without the need of high-quality images. There are several review studies addressing person identification such as the utilization of facial images, silhouette images, and wearable sensor. Despite skeleton-based person identification gaining popularity while overcoming the challenges of traditional approaches, existing survey studies lack the comprehensive review of skeleton-based approaches to gait identification. We present a detailed review of the human pose estimation and gait analysis that make the skeleton-based approaches possible. The study covers various types of related datasets, tools, methodologies, and evaluation metrics with associated challenges, limitations, and application domains. Detailed comparisons are presented for each of these aspects with recommendations for potential research and alternatives. A common trend throughout this paper is the positive impact that deep learning techniques are beginning to have on topics such as human pose estimation and gait identification. The survey outcomes might be useful for the related research community and other stakeholders in terms of performance analysis of existing methodologies, potential research gaps, application domains, and possible contributions in the future.

Key facts. Cited by 5 papers in the map (data through 14 Oct 2026). Builds on 92 of its 220 references that are in the map. First posted on arXiv 23 May 2023.

Builds on

92 of 220 references.

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38 more
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Cited by year

Citing papers per year: 2023: 1; 2024: 2; 2025: 2.

5 papers.

  1. 2024GAIA: Rethinking Action Quality Assessment for AI-Generated Videoscited by 30
  2. 2024The Influence of Faulty Labels in Data Sets on Human Pose Estimationcited by 3
  3. 2025Consistent multi-animal pose estimation in cattle using dynamic Kalman filter based trackingcited by 1
  4. 2023Human Gait Recognition using Deep Learning: A Comprehensive Reviewcited by 0
  5. 2025Paving the Way Towards Kinematic Assessment Using Monocular Video: A Preclinical Benchmark of State-of-the-Art Deep-Learning-Based 3D Human Pose Estimators Against Inertial Sensors in Daily Living Activitiescited by 0