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<!DOCTYPE html>
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  <meta name="description" content="WildPose is a novel long-range motion capture system designed for free-ranging wildlife observation. It combines an electronically controllable zoom-lens camera with a solid-state LiDAR to capture both 2D videos and 3D point cloud data remotely. This enables researchers to observe high-fidelity animal morphometrics, behavior, and interactions in a non-intrusive manner. Field trials in Kgalagadi Transfrontier Park successfully demonstrated WildPose's ability to quantify morphological features of different species, precisely track the 3D movements of a springbok herd over time, and observe the respiratory patterns of a distant lion. By facilitating long-range 3D data collection, WildPose significantly advances ecological and biomechanical studies, offering new possibilities for conservation, animal welfare, and interdisciplinary research.">
  <meta property="og:title" content="WildPose: A Long-Range 3D Wildlife Motion Capture System"/>
  <meta property="og:description" content="WildPose is a novel long-range motion capture system designed for free-ranging wildlife observation. It combines an electronically controllable zoom-lens camera with a solid-state LiDAR to capture both 2D videos and 3D point cloud data remotely. This enables researchers to observe high-fidelity animal morphometrics, behavior, and interactions in a non-intrusive manner. Field trials in Kgalagadi Transfrontier Park successfully demonstrated WildPose's ability to quantify morphological features of different species, precisely track the 3D movements of a springbok herd over time, and observe the respiratory patterns of a distant lion. By facilitating long-range 3D data collection, WildPose significantly advances ecological and biomechanical studies, offering new possibilities for conservation, animal welfare, and interdisciplinary research."/>
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  <title>WildPose: A Long-Range 3D Wildlife Motion Capture System</title>
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            <h1 class="title is-1 publication-title">WildPose: A Long-Range 3D Wildlife Motion Capture System</h1>
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              <span class="author-block"><a href="https://denden047.github.io/index_en.html" target="_blank">Naoya Muramatsu</a><sup>1</sup>,</span>
              <span class="author-block">Sangyun Shin<sup>2</sup>,</span>
              <span class="author-block">Qianyi Deng<sup>2</sup>,</span>
              <span class="author-block">Andrew Markham<sup>2</sup>,</span>
              <span class="author-block"><a href="https://scholar.google.co.za/citations?user=RxMigV4AAAAJ&hl=en" target="_blank">Amir Patel</a><sup>1</sup></span>
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                <sup>1</sup>University of Cape Town, <sup>2</sup>University of Oxford
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                Understanding and monitoring wildlife behavior is crucial in ecology and biomechanics, yet challenging because of the limitations of current methods. To address this issue, we introduce WildPose, a novel long-range motion capture system specifically tailored for free-ranging wildlife observation. This system combines an electronically controllable zoom-lens camera with a LiDAR to capture both 2D videos and 3D point cloud data, thereby allowing researchers to observe high-fidelity animal morphometrics, behavior and interactions in a completely remote manner. Field trials conducted in Kgalagadi Transfrontier Park (South Africa) have successfully demonstrated WildPose's ability to quantify morphological features of different species, accurately track the 3D movements of a springbok herd over time, and observe the respiratory patterns of a distant lion. By facilitating non-intrusive, long-range 3D data collection, WildPose marks a significant complementary technique in ecological and biomechanical studies, offering new possibilities for conservation efforts and animal welfare, and enriching the prospects for interdisciplinary research.
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                <span style="color: red; font-weight: bold;">This work has been recognized for its significance and selected as the cover of the <i>Journal of Experimental Biology</i> (March 2025 issue).</span>
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    <pre><code>@article{10.1242/jeb.249987,
    author = {Muramatsu, Naoya and Shin, Sangyun and Deng, Qianyi and Markham, Andrew and Patel, Amir},
    title = {WildPose: a long-range 3D wildlife motion capture system},
    journal = {Journal of Experimental Biology},
    volume = {228},
    number = {5},
    pages = {JEB249987},
    year = {2025},
    month = {03},
    issn = {0022-0949},
    doi = {10.1242/jeb.249987},
    url = {https://doi.org/10.1242/jeb.249987},
    eprint = {https://journals.biologists.com/jeb/article-pdf/228/5/JEB249987/3637925/jeb249987.pdf},
}</code></pre>
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