1. Tracking and Data Association;Bar-Shalom,1988
2. Bilmes, J.A., 1998. A gentle tutorial of the EM algorithm and its application to parameter estimation for Gaussian mixture and hidden Markov models. TR-97-021, Berkeley.
3. Choi, K., Seo, Y., 2004. Probabilistic tracking of soccer players and ball. In: Int. Workshop on Statist. Methods in Video.
4. Isard, M., MacCormick, J., 2001. BraMBLe: A Bayesian multiple-blob tracker. In: Proc. IEEE Internat. Conf. on Computer Vision (ICCV).
5. Kaucic, R., Perera, A.G.A., Brooksby, G., Kaufhold, J., Hoogs, A., 2005. A unified framework for tracking through occlusions and across sensor gaps. In: Proc. IEEE Internat. Conf. on Computer Vision and Pattern Recognition (CVPR).