phaidra.vetmeduni.ac.at o:3548 DOI 10.1016/j.biosystemseng.2024.04.014 Comparison of Transformers with LSTM for classification of the behavioural time budget in horses based on video data This study compares the performance of Transformers with LSTM for the classification of the behavioural time budget in horses based on video data. The behavioural time budget of a horse consists of amount of time of the activities such as feeding, resting, lying, and moving, which are important indicators of welfare and can be a basis of pain detection. Video technology offers a non-invasive and continuous monitoring approach for automated detection of horse behaviours. Computer vision and deep learning methods have been used for automated monitoring of animal behaviours, but accurate behaviour recognition remains a challenge. Previous studies have employed Convolutional LSTM models for behaviour classification, and more recently, Transformer-based models have shown superior performance in various tasks. This study proposes a multi-input, multi-output classification methodology to address the challenges of accurately detecting and classifying horse behaviours. The results demonstrate that the multi-input and multi-output Transformer model achieves the best performance in behaviour classification compared with single input and single output strategy. The proposed methodology provides a basis for detecting changes in behaviour time budgets related to pain and discomfort in horses, which can be valuable for monitoring and treating horse health problems. eng Foraging Enrichment; Camargue Horses; Recognition; Patterns; Pigs; Pain 2024-10-08T12:43:34.760Z LOMv1.0 Author BEGIN:VCARD VERSION:3.0 N:Martin-Cirera;Albert; FN:Albert Martin-Cirera X-ORCID:https://orcid.org/0009-0001-5200-5204 END:VCARD BEGIN:VCARD VERSION:3.0 N:Oczak;Maciej; FN:Maciej Oczak END:VCARD BEGIN:VCARD VERSION:3.0 N:Auer;Ulrike; FN:Ulrike Auer X-ORCID:https://orcid.org/0000-0003-0390-2678 END:VCARD BEGIN:VCARD VERSION:3.0 N:Nowak;Magdelena; FN:Magdelena Nowak X-ORCID:https://orcid.org/0000-0002-9062-2772 END:VCARD BEGIN:VCARD VERSION:3.0 N:Norton;Tomas; FN:Tomas Norton X-ORCID:https://orcid.org/0000-0002-0161-3189 END:VCARD https://w3id.org/kim/hcrt/scheme https://w3id.org/kim/hcrt/text Textdokument Text LOMv1.0 yes https://creativecommons.org/licenses/by/4.0 application/pdf 7640219 https://phaidra.vetmeduni.ac.at/o:3548 https://phaidra.vetmeduni.ac.at/api/object/o:3548/thumbnail LOMv1.0 discipline