Going Deeper than Tracking : A Survey of Computer-Vision Based Recognition of Animal Pain and Emotions

• 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. 

Subject headings

NATURVETENSKAP  -- Data- och informationsvetenskap -- Datorseende och robotik (hsv//swe)

NATURAL SCIENCES  -- Computer and Information Sciences -- Computer Vision and Robotics (hsv//eng)

LANTBRUKSVETENSKAPER  -- Husdjursvetenskap -- Husdjursvetenskap (hsv//swe)

AGRICULTURAL SCIENCES  -- Animal and Dairy Sience -- Animal and Dairy Science. (hsv//eng)

Keyword

Affective computing

Computer vision for animals

Emotion recognition

Non-human behavior analysis

Pain estimation

Pain recognition

Animals

Behavioral research

Health

Surveys

Animal motion

Computer vision for animal

Human behavior analysis

Motion tracking

Non-human behavior analyse

Vision based

Computer vision

Publication and Content Type

ref (subject category)

art (subject category)