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Attention Tracking Tool. February 22, 2012. Review of What We are Doing. Develop an application that can track and detect attention of students in a classroom Generate useful metrics that can be used to evaluate a lecture. Milestone Four Task Matrix. Head Movement Tracker.
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Attention Tracking Tool February 22, 2012
Review of What We are Doing • Develop an application that can track and detect attention of students in a classroom • Generate useful metrics that can be used to evaluate a lecture.
Head Movement Tracker • Find features on the face that can be easily found in subsequent frames. • Keep track of these points. • Use centroid of face as reference point. • Use position of features relative to reference point to determine if person is looking left, right, up, or down.
Lessons Learned • Computer Vision is a very challenging field • Knowledge of Linear Algebra and Calculus is a must!! • Tracking • Background subtraction (Codebooks, MOG) • Face Recognition • Assume 1 face and high resolution image • Lots of approaches • Not always accurate but good datasets produce pretty good results