Autonomous Monitoring of Finishing Pigs using Side-View Cameras and Deep Learning

Mathias S. Lynge; Kasper Schøn Henriksen; Thomas B. Moeslund

doi:10.1117/12.2623618

Autonomous Monitoring of Finishing Pigs using Side-View Cameras and Deep Learning

Mathias S. Lynge, Kasper Schøn Henriksen, Thomas B. Moeslund

Research output: Contribution to book/anthology/report/conference proceeding › Article in proceeding › Research › peer-review

Abstract

Monitoring of pigs is currently done by humans observing pig pens to acquire information such as behaviour to back certain actions such as regulation of temperature. These actions can have vital outcomes, as taking the wrong action or not taking an action, can result in fatalities. A vision-based system to automatically monitor pigs, therefore, has the potential of improving the welfare of pigs and enhancing the pig industry. This work investigates such a system and demonstrates several modules that can be utilized to obtain behavioural information and how such information can be interpreted. Moreover, the utilized system modules and side-view data will be evaluated. The code is public and available at: https://github.com/KHML-master/apimos.

Original language	English
Title of host publication	Fourteenth International Conference on Machine Vision, ICMV 2021
Editors	Wolfgang Osten, Dmitry Nikolaev, Jianhong Zhou
Publisher	SPIE - International Society for Optical Engineering
Publication date	2022
Article number	120841D
ISBN (Electronic)	9781510650442
DOIs	https://doi.org/10.1117/12.2623618
Publication status	Published - 2022
Event	14th International Conference on Machine Vision, ICMV 2021 - Rome, Italy Duration: 8 Nov 2021 → 12 Nov 2021

Conference

Conference	14th International Conference on Machine Vision, ICMV 2021
Country/Territory	Italy
City	Rome
Period	08/11/2021 → 12/11/2021
Sponsor	Science and Engineering Institute, Singapore Institute of Electronics, University of Electronic Science and Technology of China, University of Stuttgart

Series	Proceedings of SPIE - The International Society for Optical Engineering
Volume	12084
ISSN	0277-786X

Bibliographical note

Publisher Copyright:
© 2022 SPIE.

Keywords

Animal Behaviour
Computer Vision System
Deep Learning
Pig Monitoring

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10.1117/12.2623618

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Lynge, Mathias S. ; Henriksen, Kasper Schøn ; Moeslund, Thomas B. / Autonomous Monitoring of Finishing Pigs using Side-View Cameras and Deep Learning. Fourteenth International Conference on Machine Vision, ICMV 2021. editor / Wolfgang Osten ; Dmitry Nikolaev ; Jianhong Zhou. SPIE - International Society for Optical Engineering, 2022. (Proceedings of SPIE - The International Society for Optical Engineering, Vol. 12084).

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title = "Autonomous Monitoring of Finishing Pigs using Side-View Cameras and Deep Learning",

abstract = "Monitoring of pigs is currently done by humans observing pig pens to acquire information such as behaviour to back certain actions such as regulation of temperature. These actions can have vital outcomes, as taking the wrong action or not taking an action, can result in fatalities. A vision-based system to automatically monitor pigs, therefore, has the potential of improving the welfare of pigs and enhancing the pig industry. This work investigates such a system and demonstrates several modules that can be utilized to obtain behavioural information and how such information can be interpreted. Moreover, the utilized system modules and side-view data will be evaluated. The code is public and available at: https://github.com/KHML-master/apimos.",

keywords = "Animal Behaviour, Computer Vision System, Deep Learning, Pig Monitoring",

author = "Lynge, {Mathias S.} and Henriksen, {Kasper Sch{\o}n} and Moeslund, {Thomas B.}",

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year = "2022",

doi = "10.1117/12.2623618",

language = "English",

series = "Proceedings of SPIE - The International Society for Optical Engineering",

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Lynge, MS, Henriksen, KS & Moeslund, TB 2022, Autonomous Monitoring of Finishing Pigs using Side-View Cameras and Deep Learning. in W Osten, D Nikolaev & J Zhou (eds), Fourteenth International Conference on Machine Vision, ICMV 2021., 120841D, SPIE - International Society for Optical Engineering, Proceedings of SPIE - The International Society for Optical Engineering, vol. 12084, 14th International Conference on Machine Vision, ICMV 2021, Rome, Italy, 08/11/2021. https://doi.org/10.1117/12.2623618

Autonomous Monitoring of Finishing Pigs using Side-View Cameras and Deep Learning. / Lynge, Mathias S.; Henriksen, Kasper Schøn; Moeslund, Thomas B.
Fourteenth International Conference on Machine Vision, ICMV 2021. ed. / Wolfgang Osten; Dmitry Nikolaev; Jianhong Zhou. SPIE - International Society for Optical Engineering, 2022. 120841D (Proceedings of SPIE - The International Society for Optical Engineering, Vol. 12084).

Research output: Contribution to book/anthology/report/conference proceeding › Article in proceeding › Research › peer-review

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N2 - Monitoring of pigs is currently done by humans observing pig pens to acquire information such as behaviour to back certain actions such as regulation of temperature. These actions can have vital outcomes, as taking the wrong action or not taking an action, can result in fatalities. A vision-based system to automatically monitor pigs, therefore, has the potential of improving the welfare of pigs and enhancing the pig industry. This work investigates such a system and demonstrates several modules that can be utilized to obtain behavioural information and how such information can be interpreted. Moreover, the utilized system modules and side-view data will be evaluated. The code is public and available at: https://github.com/KHML-master/apimos.

AB - Monitoring of pigs is currently done by humans observing pig pens to acquire information such as behaviour to back certain actions such as regulation of temperature. These actions can have vital outcomes, as taking the wrong action or not taking an action, can result in fatalities. A vision-based system to automatically monitor pigs, therefore, has the potential of improving the welfare of pigs and enhancing the pig industry. This work investigates such a system and demonstrates several modules that can be utilized to obtain behavioural information and how such information can be interpreted. Moreover, the utilized system modules and side-view data will be evaluated. The code is public and available at: https://github.com/KHML-master/apimos.

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BT - Fourteenth International Conference on Machine Vision, ICMV 2021

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Lynge MS, Henriksen KS, Moeslund TB. Autonomous Monitoring of Finishing Pigs using Side-View Cameras and Deep Learning. In Osten W, Nikolaev D, Zhou J, editors, Fourteenth International Conference on Machine Vision, ICMV 2021. SPIE - International Society for Optical Engineering. 2022. 120841D. (Proceedings of SPIE - The International Society for Optical Engineering, Vol. 12084). doi: 10.1117/12.2623618

Autonomous Monitoring of Finishing Pigs using Side-View Cameras and Deep Learning

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Keywords

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