Monocular 3D Tracking of Mean-Shift with Scale Adaptation Based on Projective Geometry
Zhongyu Lou, Guang Jiang, Lin Jia, Chengke Wu · 2010
Mean-Shift a non-parameter algorithm, is widely used in real-time tracking. A crucial problem in implementing this algorithm is that there is presently no clear mechanism for updating the tracking window when a variable-size object is tracked. To solve this problem, we have proposed a 2D window updating algorithm based on projective geometry in the previous research.But on certain occasions, such as car tracking, a 3D window can describe the object more accurately than a 2D window. So we extend our algorithm into a 3D tracking, and the experiment shows that this algorithm performs well.