UCL Discovery
UCL home » Library Services » Electronic resources » UCL Discovery

WildPose: a long-range 3D wildlife motion capture system

Muramatsu, Naoya; Shin, Sangyun; Deng, Qianyi; Markham, Andrew; Patel, Amir; (2025) WildPose: a long-range 3D wildlife motion capture system. Journal of Experimental Biology , 228 (5) , Article JEB249987. 10.1242/jeb.249987.

[thumbnail of Patel_wildpose_withSupp.pdf] Text
Patel_wildpose_withSupp.pdf
Access restricted to UCL open access staff until 6 March 2026.

Download (6MB)

Abstract

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.

Type: Article
Title: WildPose: a long-range 3D wildlife motion capture system
Location: England
DOI: 10.1242/jeb.249987
Publisher version: https://doi.org/10.1242/jeb.249987
Language: English
Additional information: This version is the version of record. For information on re-use, please refer to the publisher’s terms and conditions.
Keywords: Motion capture,; Field research; Biomechanics; Ethology
UCL classification: UCL
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Computer Science
URI: https://discovery.ucl.ac.uk/id/eprint/10207862
Downloads since deposit
3Downloads
Download activity - last month
Download activity - last 12 months
Downloads by country - last 12 months

Archive Staff Only

View Item View Item