Machine learning for visual recognition

Summary

This research project aims to develop new machine learning methods for various visual recognition tasks such as object/scene recognition, face and human gait recognition, activity recognition and video event recognition.

Supervisor(s)

Professor Dong Xu

Research Location

Electrical and Information Engineering

Program Type

Masters/PHD

Synopsis

Visual recognition is an important research problem because of its broad range of applications in video surveillance, human computer interaction and intelligent image/video search. New machine learning methods that will be developed in this project can significantly improve the visual recognition performance.

Additional Information

• Use of research technique / methodology / technology
• Potential topics of interest for the research opportunity
• Current PHD and/or Masters topics
• Eligibility criteria / candidate profile
• Scholarship(s) / funding available

The students are expected to have excellent mathematics background and programming skills. Scholarships or funding is available for excellent students.

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Keywords

Computer vision, Machine learning, Multimedia content analysis

Opportunity ID

The opportunity ID for this research opportunity is: 2022

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