ArticleBiology open2014
Markerless 3D motion capture for animal locomotion studies.
Article in Biology open, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
9 citing papers in PubMed, 35 citations in OpenAlex.
- Marker-Less Motion Capture of Insect Locomotion With Deep Neural Networks Pre-trained on Synthetic Videos.Frontiers in behavioral neuroscience · 2021Article
- Three-dimensional movements of the pectoral fin during yaw turns in the Pacific spiny dogfish,Biology open · 2019Article
- Simultaneous measurements of three-dimensional trajectories and wingbeat frequencies of birds in the field.Journal of the Royal Society, Interface · 2018Article
- Quadrupedal locomotor simulation: producing more realistic gaits using dual-objective optimization.Royal Society open science · 2018Article
- Now You See Me: Convolutional Neural Network Based Tracker for Dairy Cows.Frontiers in robotics and AI · 2018Article
- Quantifying the dynamic wing morphing of hovering hummingbird.Royal Society open science · 2017Article
- A Markerless 3D Computerized Motion Capture System Incorporating a Skeleton Model for Monkeys.PloS one · 2016Article
- Three-dimensional models of natural environments and the mapping of navigational information.Journal of comparative physiology. A, Neuroethology, sensory, neural, and behavioral physiology · 2015Article
- Subject-specific body segment parameter estimation using 3D photogrammetry with multiple cameras.PeerJ · 2015Article
Corrections and comments
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Authors and funding
2 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Obtaining quantitative data describing the movements of animals is an essential step in understanding their locomotor biology. Outside the laboratory, measuring animal locomotion often relies on video-based approaches and analysis is hampered because of difficulties in calibration and often the limited availability of possible camera positions. It is also usually restricted to two dimensions, which is often an undesirable over-simplification given the essentially three-dimensional nature of many locomotor performances. In this paper we demonstrate a fully three-dimensional approach based on 3D photogrammetric reconstruction using multiple, synchronised video cameras. This approach allows full calibration based on the separation of the individual cameras and will work fully automatically with completely unmarked and undisturbed animals. As such it has the potential to revolutionise work carried out on free-ranging animals in sanctuaries and zoological gardens where ad hoc approaches are essential and access within enclosures often severely restricted. The paper demonstrates the effectiveness of video-based 3D photogrammetry with examples from primates and birds, as well as discussing the current limitations of this technique and illustrating the accuracies that can be obtained. All the software required is open source so this can be a very cost effective approach and provides a methodology of obtaining data in situations where other approaches would be completely ineffective.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.