CS4187 - Computer Vision for Interactivity

Offering Academic Unit
Department of Computer Science
Credit Units
Course Duration
One Semester
Course Offering Term*:
Semester A 2023/24

* The offering term is subject to change without prior notice
Course Aims

The elective course introduces students to computer vision technologies to support human computer interactions, such as face, hand or body tracking. The focus of the class is three-fold: 1) to learn about existing computer vision technologies; 2) to develop skills using these algorithms through hands-on experience; 3) to design and create a computer vision system for a real-world interactive program.  Topics will focus on image processing, feature detection, segmentation, face and object recognition, and motion estimation and tracking.  Advanced topics may include real-time face detection and object detection.  This course will use open source software libraries (e.g., OpenCV and openFrameworks) to create interactive programs with computer vision. 

Assessment (Indicative only, please check the detailed course information)

Continuous Assessment: 60%
Examination: 40%
Examination Duration: 2 hours
For a student to pass the course, at least 30% of the maximum mark for the examination must be obtained.
Detailed Course Information


Useful Links

Department of Computer Science