Abstract
Advances in animal motion tracking and pose recognition have been a game changer in the study of animal behavior. Recently, an increasing number of works go ‘deeper’ than tracking, and address automated recognition of animals’ internal states such as emotions and pain with the aim of improving animal welfare, making this a timely moment for a systematization of the field. This paper provides a comprehensive survey of computer vision-based research on recognition of pain and emotional states in animals, addressing both facial and bodily behavior analysis. We summarize the efforts that have been presented so far within this topic—classifying them across different dimensions, highlight challenges and research gaps, and provide best practice recommendations for advancing the field, and some future directions for research.
Original language | American English |
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Pages (from-to) | 572-590 |
Number of pages | 19 |
Journal | International Journal of Computer Vision |
Volume | 131 |
Issue number | 2 |
DOIs | |
State | Published - Feb 2023 |
Keywords
- Affective computing
- Computer vision for animals
- Emotion recognition
- Non-human behavior analysis
- Pain estimation
- Pain recognition
All Science Journal Classification (ASJC) codes
- Software
- Computer Vision and Pattern Recognition
- Artificial Intelligence