Segmentation and tracking methods have been widely explore. However, they are often computationally heavy or require constraining assumptions. We present in this paper a new system for real-time simultaneous segmentation and tracking, without any hypothesis on target appearance, image background or camera properties. The proposed approach (SUGVPB) is an active contour modeled with B-splines and which evolution process is using a speeded up gradient vector flow, characterized by a faster computation of the edge diffusion process. The synergy of these two powerful components enables precise, robust and real-time tracking of complete non-rigid mobile objects. Our method has been validated on synthetic as well as natural video sequences.
Olszewska, J. I., De Vleeschouwer, C., & Macq, B. (2007). Speeded up gradient vector flow B-spline active contours for robust and real-time tracking. Proceedings of the International Conference on Acoustics, Speech, and Signal Processing, Honolulu, HI, USA. Published. 2007 IEEE International Conference on Acoustics, Speech, and Signal Processing, Honolulu, HI, USA. https://hdl.handle.net/2078.5/253503