Leaving flatland: Advances in 3D behavioral measurement.

Journal Article (Review;Journal Article)

Animals move in three dimensions (3D). Thus, 3D measurement is necessary to report the true kinematics of animal movement. Existing 3D measurement techniques draw on specialized hardware, such as motion capture or depth cameras, as well as deep multi-view and monocular computer vision. Continued advances at the intersection of deep learning and computer vision will facilitate 3D tracking across more anatomical features, with less training data, in additional species, and within more natural, occlusive environments. 3D behavioral measurement enables unique applications in phenotyping, investigating the neural basis of behavior, and designing artificial agents capable of imitating animal behavior.

Full Text

Duke Authors

Cited Authors

  • Marshall, JD; Li, T; Wu, JH; Dunn, TW

Published Date

  • April 19, 2022

Published In

Volume / Issue

  • 73 /

Start / End Page

  • 102522 -

PubMed ID

  • 35453000

Electronic International Standard Serial Number (EISSN)

  • 1873-6882

International Standard Serial Number (ISSN)

  • 0959-4388

Digital Object Identifier (DOI)

  • 10.1016/j.conb.2022.02.002

Language

  • eng