Computer Vision and Video Analytic
(CVVA) group
The mission of this research group is to focus and combine any skills in any core computer vision technologies, machine learning, and artificial intelligence. The aim is to provide theories, computational approaches, and models specialized in machine vision, pattern recognition, as well as vision-based prototyping design. With the increasing demands on the computer vision, we are here to provide relevant training, research, and solutions to the academic, industry, or stakeholders. Research ranges from low-level image processing, image understanding, object or defect recognition, to scene understanding or human-behavior analysis.
Team Leader: Dr. Goh Kam Meng
Objectives:
The objective of this research group is to investigate the theoretical knowledge of computer vision and develop into practical systems that apply to the real-world problem.