Are you passionate about bridging the gap between AI and real-world applications? Join us at the Lincoln Centre for Autonomous Systems (L-CAS) to work on an exciting project that utilizes computer vision techniques to enable fusing and analysing information from multiple cameras capturing human actions in a first-person perspective.
In this project, you are going to develop a computer vision-based system that synchronizes and combines information for multiple camera views, capturing footage of a person performing fruit harvesting activities. The proposed system should be able to recognize human actions from egocentric and exocentric videos.
You are expected to test the performance of your proposed system in footage from eye-tracking glasses, wearable action cameras, and 360 cameras capturing different views of a strawberry picker working in controlled and real conditions.
Required Skills
- Strong programming skills in Python
- Good understanding of computer vision techniques
- Good understanding of Artificial Neural Networks
- Familiarity with Docker and GitHub tools
- Excellent communication abilities
Desirable Skills
- Familiarity with human action recognition strategies
What We Offer
- Hands-on experience with cutting-edge AI technologies
- Integration into the dynamic L-CAS research team
- Possibility to participate in scientific writing and co-authoring a research paper
This is an internship position suitable for students pursuing a programme of study in computer science, robotics and/or AI at the University of Lincoln. If you are interested, fill out our Expression of Interest Form, choosing Dr Leonardo Guevara (lguevara@lincoln.ac.uk) as the researcher to supervise the project.