Tracking of Human Groups Using Subtraction Stereo
Yuma Hoshikawa, Yuki Hashimoto, Alessandro Moro, Kenji Terabayashi, Kazunori Umeda · SICE Journal of Control Measurement and System Integration · 2011
In this paper, we propose a method for tracking groups of people using three-dimensional (3D) feature points obtained with use of the Kanade-Lucas-Tomasi feature tracker (KLT) method and a stereo camera system called “Subtraction stereo”. The tracking system using subtraction stereo, which focuses its stereo matching algorithm to foreground regions obtained by background subtraction, is realized using Kalman filter based tracker. The effectiveness of the proposed method is verified using 3D scenes of people walking, which are difficult to track.