1 Mobility and Tracking Technologies, The Technical Faculty of IT and Design, Aalborg University, VBN2 Department of Architecture, Design and Media Technology, The Technical Faculty of IT and Design, Aalborg University, VBN3 Media Technology, The Technical Faculty of IT and Design, Aalborg University, VBN4 Visual Analysis of People Laboratory, The Technical Faculty of IT and Design, Aalborg University, VBN5 The Faculty of Engineering and Science (TECH), Aalborg University, VBN6 Aalborg U Robotics, The Faculty of Humanities, Aalborg University, VBN
We present here a real-time tracking algorithm for thermal video from a sports game. Robust detection of people includes routines for handling occlusions and noise before tracking each detected person with a Kalman filter. This online tracking algorithm is compared with a state-of-the-art offline multi-target tracking algorithm. Experiments are performed on a manually annotated 2-minutes video sequence of a real soccer game. The Kalman filter shows a very promising result on this rather challenging sequence with a tracking accuracy above 70 % and is superior compared with the offline tracking approach. Furthermore, the combined detection and tracking algorithm runs in real time at 33 fps, even with large image sizes of 1920 × 480 pixels.