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. 

For a student to pass the course, at least 30% of the maximum mark for the examination must be obtained.