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