Literature DB >> 36266417

Behaviour Real-Time Spatial Tracking Identification (BeRSTID) used for Cat Behaviour Monitoring in an Animal Shelter.

B H Eagan1, B Eagan2, A Protopopova3.   

Abstract

Efficiently tracking animal behaviour in an animal shelter has direct lifesaving applications. Individualized care and early recognition of distress in cats are often missed. However, monitoring behaviour is a challenge as time and financial resources are often limited, and the size and needs of animal populations within shelters are commonly in flux. Our research required a method of behavioural observation that was simple, accessible, used limited human and computer resources and allowed for real-time feedback. Here, we present BeRSTID, an open-source behaviour real-time spatial tracking identification system demonstrated on six cats in an animal shelter using unique 2D fiducial markers. The markers were attached to custom veterinary paper identification collars for feedback on individual animal behaviour over time. Our findings show that BeRSTID correlated closely to human-coded data in both real-time and post-event processing modes of eating and drinking behaviours of cats in naturalistic shelter environments. By building upon a lateral concept of marker tracking for direct applied use in a new context, we present a low-barrier user-friendly solution using common technologies that can track animals for research and, with further development, may help improve welfare in animal care facilities such as shelters. Extensions of BeRSTID may be generalized to track unique subjects in varied environments for multiple use cases.
© 2022. The Author(s).

Entities:  

Mesh:

Year:  2022        PMID: 36266417      PMCID: PMC9584257          DOI: 10.1038/s41598-022-22167-3

Source DB:  PubMed          Journal:  Sci Rep        ISSN: 2045-2322            Impact factor:   4.996


  14 in total

1.  idTracker: tracking individuals in a group by automatic identification of unmarked animals.

Authors:  Alfonso Pérez-Escudero; Julián Vicente-Page; Robert C Hinz; Sara Arganda; Gonzalo G de Polavieja
Journal:  Nat Methods       Date:  2014-06-01       Impact factor: 28.547

2.  TRex, a fast multi-animal tracking system with markerless identification, and 2D estimation of posture and visual fields.

Authors:  Tristan Walter; Iain D Couzin
Journal:  Elife       Date:  2021-02-26       Impact factor: 8.140

3.  Quick, Accurate, Smart: 3D Computer Vision Technology Helps Assessing Confined Animals' Behaviour.

Authors:  Shanis Barnard; Simone Calderara; Simone Pistocchi; Rita Cucchiara; Michele Podaliri-Vulpiani; Stefano Messori; Nicola Ferri
Journal:  PLoS One       Date:  2016-07-14       Impact factor: 3.240

4.  Cage size, movement in and out of housing during daily care, and other environmental and population health risk factors for feline upper respiratory disease in nine North American animal shelters.

Authors:  Denae C Wagner; Philip H Kass; Kate F Hurley
Journal:  PLoS One       Date:  2018-01-02       Impact factor: 3.240

5.  The ARRIVE guidelines 2.0: Updated guidelines for reporting animal research.

Authors:  Nathalie Percie du Sert; Viki Hurst; Amrita Ahluwalia; Sabina Alam; Marc T Avey; Monya Baker; William J Browne; Alejandra Clark; Innes C Cuthill; Ulrich Dirnagl; Michael Emerson; Paul Garner; Stephen T Holgate; David W Howells; Natasha A Karp; Stanley E Lazic; Katie Lidster; Catriona J MacCallum; Malcolm Macleod; Esther J Pearl; Ole H Petersen; Frances Rawle; Penny Reynolds; Kieron Rooney; Emily S Sena; Shai D Silberberg; Thomas Steckler; Hanno Würbel
Journal:  PLoS Biol       Date:  2020-07-14       Impact factor: 8.029

6.  Social networks predict the life and death of honey bees.

Authors:  Benjamin Wild; David M Dormagen; Adrian Zachariae; Michael L Smith; Kirsten S Traynor; Dirk Brockmann; Iain D Couzin; Tim Landgraf
Journal:  Nat Commun       Date:  2021-02-17       Impact factor: 14.919

7.  SLEAP: A deep learning system for multi-animal pose tracking.

Authors:  Joshua W Shaevitz; Mala Murthy; Talmo D Pereira; Nathaniel Tabris; Arie Matsliah; David M Turner; Junyu Li; Shruthi Ravindranath; Eleni S Papadoyannis; Edna Normand; David S Deutsch; Z Yan Wang; Grace C McKenzie-Smith; Catalin C Mitelut; Marielisa Diez Castro; John D'Uva; Mikhail Kislin; Dan H Sanes; Sarah D Kocher; Samuel S-H Wang; Annegret L Falkner
Journal:  Nat Methods       Date:  2022-04-04       Impact factor: 28.547

8.  BEEtag: A Low-Cost, Image-Based Tracking System for the Study of Animal Behavior and Locomotion.

Authors:  James D Crall; Nick Gravish; Andrew M Mountcastle; Stacey A Combes
Journal:  PLoS One       Date:  2015-09-02       Impact factor: 3.240

9.  Ant trophallactic networks: simultaneous measurement of interaction patterns and food dissemination.

Authors:  Efrat Greenwald; Enrico Segre; Ofer Feinerman
Journal:  Sci Rep       Date:  2015-07-30       Impact factor: 4.379

10.  Automated monitoring of behavior reveals bursty interaction patterns and rapid spreading dynamics in honeybee social networks.

Authors:  Tim Gernat; Vikyath D Rao; Martin Middendorf; Harry Dankowicz; Nigel Goldenfeld; Gene E Robinson
Journal:  Proc Natl Acad Sci U S A       Date:  2018-01-29       Impact factor: 11.205

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.