A review of statistical data association techniques for motion correspondence

Author:

Cox Ingemar J.

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition,Software

Reference33 articles.

1. N. Ayache and O. Faugeras, Maintaining representations of the environment of a mobile robot,IEEE Trans. Robotics Autom. 5(6): 804?819, 1989.

2. H.A.P. Blom, R.A. Hogendoorn, and B.A. van Doorn, Design of a multisensor tracking system for advanced air traffic control. In Y. Bar-Shalom, ed.,Multitarget-Multisensor Tracking: Advanced Applications. Artech House: Norwood, MA, vol. 2, pp. 31?63, 1992.

3. Y. Bar-Shalom, K.C. Chang, and H.A.P. Blom, Automatic track formation in clutter with a recursive algorithm. In Y. Bar-Shalom, ed.,Multitarget-Multisensor Tracking: Advanced Applications, Artech House: Norwood, MA, pp. 25?42, 1990.

4. Y. Bar-Shalom, K.C. Chang, and H.A.P. Blom, Tracking splitting targets in clutter by using an interacting multiple model joint probabilistic data association filter. In Y. Bar-Shalom, ed.,Multitarget-Multisensor Tracking: Advanced Applications, Artech House: Norwood, MA, vol. 2, pp. 93?110, 1992.

5. Y. Bar-Shalom and T.E. Fortmann,Tracking and Data Association, Academic Press: San Diego, CA, 1988.

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