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- Title
Describing Behavior Sequences of Fattening Pigs Using Process Mining on Video Data and Automated Pig Behavior Recognition.
- Authors
Melfsen, Andreas; Lepsien, Arvid; Bosselmann, Jan; Koschmider, Agnes; Hartung, Eberhard
- Abstract
This study aimed to demonstrate the application of process mining on video data of pigs, facilitating the analysis of behavioral patterns. Video data were collected over a period of 5 days from a pig pen in a mechanically ventilated barn and used for analysis. The approach in this study relies on a series of individual steps to allow process mining on this data set. These steps include object detection and tracking, spatiotemporal activity recognition in video data, and process model analysis. Each step gives insights into pig behavior at different time points and locations within the pen, offering increasing levels of detail to describe typical pig behavior up to process models reflecting different behavior sequences for clustered datasets. Our data-driven approach proves suitable for the comprehensive analysis of behavioral sequences in conventional pig farming.
- Subjects
PROCESS mining; OBJECT recognition (Computer vision); DATA mining; VIDEO processing; SWINE; SWINE farms; RACTOPAMINE; HUMAN activity recognition
- Publication
Agriculture; Basel, 2023, Vol 13, Issue 8, p1639
- ISSN
2077-0472
- Publication type
Article
- DOI
10.3390/agriculture13081639