Multiple Objects Tracking (MOT) is a challenging problem of computer vision that has a wide range of practical applications in CCTV, security, video compression, and sports analysis. Generally, MOT tracking contains multiple single tracking operating at the same time. It becomes very difficult in cases demanding realtime processing with high accuracy. In such a context, exploiting frequency domain with multiple features such as color, shape, and deep-features has been proposed by many authors to improve both accuracy and performance. This tutorial is addressed to the audience with a general background in tracking problems and introduce a practical application in the tracking of multiple football players.
Speaker: TS. Nguyễn Hồng Thịnh, AVITECH
Time: 15:30, Tuesday, November 19, 2019
Venue: G2-315, 144 Xuan Thuy, Cau Giay, Hanoi
Dr. Nguyen Hong Thinh received B.Sc. degree in Electronics and Telecommunications from the University of Engineering and Technology (UET) 2007, Master degree in Information Systems and Technology, Paris Sud 11 (Poles Universitaire Francais programme), 2010, and the Ph.D. degree in computer vision, University Saint-Etienne, University Lyon1 2014. She is now a teacher and researcher of the Signal and System laboratory within VNU-UET. Her research interests include image processing, machine learning, and computer vision.