D. Koller, J. Weber, T. Huang, J. Malik, G. Ogasawarea et al., Towards robust automatic traffic scene analysis in real-time, Proceedings of the 33rd Conference on Decision and Control, pp.3776-3781, 1994.

K. Kyriakopoulos and G. Saridis, An integrated collision prediction and avoidance scheme for mobile robots in non-stationary environments, Proceedings of the IEEE International Conference on Robotics and Automation, pp.194-199, 1992.

Q. Zhu, A stochastic algorithm for obstacle motion prediction in visual guidance of robot motion, IEEE International Conference on Systems Engineering, pp.216-219, 1990.
DOI : 10.1109/ICSYSE.1990.203136

R. Kalman and R. Bucy, New Results in Linear Filtering and Prediction Theory, Journal of Basic Engineering, vol.83, issue.1, pp.95-107, 1960.
DOI : 10.1115/1.3658902

A. Elfes, Using occupancy grids for mobile robot perception and navigation, Computer, vol.22, issue.6, pp.46-57, 1989.
DOI : 10.1109/2.30720

S. Tadokoro, M. Hayashi, Y. Manabe, Y. Nakami, and T. Takamori, Motion planner of mobile robots which avoid moving human obstacles on the basis of stochastic prediction, 1995 IEEE International Conference on Systems, Man and Cybernetics. Intelligent Systems for the 21st Century, pp.3286-3291, 1995.
DOI : 10.1109/ICSMC.1995.538292

E. Kruse, R. Gutsche, and F. Wahl, Estimation of collision probabilities in dynamic environments for path planning with minimum collision probability, Proceedings of IEEE/RSJ International Conference on Intelligent Robots and Systems. IROS '96, pp.1288-1295, 1996.
DOI : 10.1109/IROS.1996.568983

K. Tanaka, Detecting collision-free paths by observing walking people, IEEE/RSJ International Conference on Intelligent Robots and System, pp.55-60, 2002.
DOI : 10.1109/IRDS.2002.1041362

E. Kruse, R. Gusche, and F. M. Wahl, Acquisition of statistical motion patterns in dynamic environments and their application to mobile robot motion planning, Proceedings of the 1997 IEEE/RSJ International Conference on Intelligent Robot and Systems. Innovative Robotics for Real-World Applications. IROS '97, pp.713-717, 1997.
DOI : 10.1109/IROS.1997.655089

M. Bennewitz, W. Burgard, and S. Thrun, Learning motion patterns of persons for mobile service robots, Proceedings 2002 IEEE International Conference on Robotics and Automation (Cat. No.02CH37292), pp.3601-3606, 2002.
DOI : 10.1109/ROBOT.2002.1014268

S. Gaffney and P. Smyth, Trajectory clustering with mixtures of regression models, Proceedings of the fifth ACM SIGKDD international conference on Knowledge discovery and data mining , KDD '99, 1999.
DOI : 10.1145/312129.312198

N. Dempster, A. Laird, and D. Rubin, Maximum likelihood from incomplete data via the EM algorithm, Journal of the Royal Statistical Society, vol.9, issue.1, pp.1-38, 1977.

A. Jain, M. Murty, and P. Flynn, Data clustering: a review, ACM Computing Surveys, vol.31, issue.3, pp.265-322, 1999.
DOI : 10.1145/331499.331504

L. Kaufman and P. J. Rousseeuw, Finding Groups in Data: An Introduction to Cluster Analysis, Wiley Series In Probability And Mathematical Statistics, 1989.
DOI : 10.1002/9780470316801

B. King, Step-Wise Clustering Procedures, Journal of the American Statistical Association, vol.3, issue.317, pp.86-101, 1967.
DOI : 10.1080/01621459.1963.10500845

T. Hofmann and J. M. Buhmann, Pairwise data clustering by deterministic annealing, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.19, issue.1, pp.1-14, 1997.
DOI : 10.1109/34.566806

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.130.3511

C. Fraley and A. Raferty, How Many Clusters? Which Clustering Method? Answers Via Model-Based Cluster Analysis, The Computer Journal, vol.41, issue.8
DOI : 10.1093/comjnl/41.8.578

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.101.5035

S. Kirkpatrick, C. Gelatt, and M. Vecchi, Optimization by Simulated Annealing, Science, vol.220, issue.4598, pp.671-680, 1983.
DOI : 10.1126/science.220.4598.671

V. Cerny, Thermodynamical approach to the traveling salesman problem: An efficient simulation algorithm, Journal of Optimization Theory and Applications, vol.21, issue.1, pp.41-51, 1985.
DOI : 10.1007/BF00940812