Although, the process analytics pipeline from raw video data to a discovered process model has not yet been fully implemented, it is convinced that the approach is an essential contribution towards a (semi)automatic technique aiming to replace manual work.
. Disciplines like life and natural sciences could gain high benefits from process mining in terms of identifying anomalies in the process or supporting predictive analytics in what is being measured. These disciplines, however, mostly work with data at a much lower level of abstraction and the data does not directly relate to high-level business process concepts as required for process mining. This paper discusses an approach for process mining on video data. As a use case, we applied our approach on video surveillance data of pigpens. Although, our process analytics pipeline from raw video data to a discovered process model has not yet been fully implemented, we are convinced that our approach is an essential contribution towards a (semi)automatic technique aiming to replace manual work.