AI based Animal Behavior Recognition: Dog Pose and Labeling

This project will develop a real-time Artificial Intelligence based system that accurately estimates 3D skeletal pose from monocular video of dogs and reliably classifies fundamental behaviors to support veterinary health monitoring and behavioral assessment applications. Recent research has demonstrated significant progress in automated animal behavior recognition. The intersection of computer vision, animal behavior analysis, and veterinary health monitoring represents a rapidly evolving field with significant implications for both technological advancement and animal welfare. The project addresses the societal challenge of pet mental health and accessible veterinary care, the technology will benefit Canadian pet owners and support the domestic pet care industry.

Faculty Supervisor:

Steve DiPaola

Student:

Partner:

Empawer Pet Corp.

Discipline:

Computer science

Sector:

Health and Related Sciences & Technology; Professional, scientific and technical services

University:

Simon Fraser University

Program: