000K  utf8
1100  $c2022
1500  eng
2050  urn:nbn:de:gbv:8:3-2022-00378-5
2051  10.21941/kcss/2022/4
3000  Brünger, Johannes
4000  Visual Detection and Tracking of Pigs$dOn the Use of Computer Vision in Livestock Farming$hChristian-Albrechts-Universität zu Kiel  [Brünger, Johannes]
4030  Kiel$nChristian-Albrechts-Universität zu Kiel
4209  With the increasing demand for meat and the corresponding growth in livestock populations, automated monitoring systems are a useful extension of tools to ensure animal welfare. Likewise, such systems enable the processing of larger amounts of data for research and behavioral studies for future welfare recommendations. This work uses pigs as an example to demonstrate the use of various methods for camera-based detection and tracking of animals. The resulting residence and movement information can be used for targeted study of animal behavior in different experimental housing environments or correlation of movement to other animal health parameters. The results show a high accuracy of the presented methods and thus indicate various practical applications.
4950  https://doi.org/10.21941/kcss/2022/4$xR$3Volltext$534
4950  https://nbn-resolving.org/urn:nbn:de:gbv:8:3-2022-00378-5$xR$3Volltext$534
4961  https://macau.uni-kiel.de/receive/macau_mods_00002798
5051  004
5550  Computer Vision
5550  Deep Learning
5550  Detection
5550  Livestock Farming
5550  Tracking