Tracking of group‐housed pigs using multi‐ellipsoid expectation maximisation

Autor:	Mateusz Mittek, Eric T. Psota, Jay D. Carlson, Lance C. Pérez, Ty Schmidt, Benny Mote
Jazyk:	angličtina
Rok vydání:	2018
Předmět:	group-housed pigs tracking multiellipsoid expectation maximisation depth images group-housed environment animal activities animal behaviours Computer applications to medicine. Medical informatics R858-859.7 Computer software QA76.75-76.765
Zdroj:	IET Computer Vision, Vol 12, Iss 2, Pp 121-128 (2018)
Druh dokumentu:	article
ISSN:	1751-9640 1751-9632
DOI:	10.1049/iet-cvi.2017.0085
Popis:	Maintaining the health and well‐being of animals is critical to the efficiency and profitability of livestock operations. However, it can be difficult to monitor the health of animals in large group‐housed settings without the assistance of technology. This study presents a system that uses depth images to continuously track individual pigs in a group‐housed environment. It is an alternative to traditional manual observation used by both researchers and producers for the analysis of animal activities and behaviours. The tracking method used by the system exploits the consistent shape and fixed number of the targets in the environment by applying expectation maximisation as a policy for fitting an ellipsoid to each target. Results demonstrate that the system can maintain the correct positions and orientations of 15 group‐housed pigs for an average of 19.7 min between failure events.
Databáze:	Directory of Open Access Journals
Externí odkaz:	https://doaj.org/article/4862a4417e064ef0b568330862b1f148 Zobrazit plný text záznamu Plný text View record in DOAJ