@inproceedings{RaveendranMeyer zu WesterhausenWurstetal.2024, author = {Raveendran, Gurubaran and Meyer zu Westerhausen, S{\"o}ren and Wurst, Johanna and Lachmayer, Roland}, title = {Automatic movement pattern analysis for data-driven system optimisation - an example for fattening livestock farming monitoring system}, booktitle = {Proceedings of the Design Society}, volume = {4}, number = {1}, issn = {2732-527X}, doi = {10.25968/opus-3446}, institution = {Fakult{\"a}t I - Elektro- und Informationstechnik}, pages = {2217 -- 2226}, year = {2024}, abstract = {This paper introduces a method for analysing motion patterns that can be utilised to optimise data-driven systems. The aim is to use surveillance cameras and artificial intelligence to track multiple objects in a reliable manner, thereby preserving the authenticity of movement patterns for numerous and similar objects. In a case study, this method is applied to optimize lighting conditions in animal husbandry. Furthermore, this approach can be utilized not only in animal husbandry but also in other domains.}, subject = {K{\"u}nstliche Intelligenz}, language = {en} }