Linking tracked objects that undergo temporary occlusion

Details Linking tracked objects that undergo temporary occlusion Linking tracked objects that undergo temporary occlusion

2008-01-22

2009-11-17

Le, Brian Q (Department: 2624)

Image analysis

Applications

Target tracking or detecting

C382S159000

Reexamination Certificate

active

07620207

ABSTRACT:
A method and system is configured to characterize regions of an environment by the likelihoods of transition of a target from each region to another. The likelihoods of transition between regions is preferably used in combination with conventional object-tracking algorithms to determine the likelihood that a newly-appearing object in a scene corresponds to a recently-disappeared target. The likelihoods of transition may be predefined based on the particular environment, or may be determined based on prior appearances and disappearances in the environment, or a combination of both. The likelihoods of transition may also vary as a function of the time of day, day of the week, and other factors that may affect the likelihoods of transitions between regions in the particular surveillance environment.

REFERENCES:
patent: 5280530 (1994-01-01), Trew et al.
patent: 6263088 (2001-07-01), Crabtree et al.
patent: 6359647 (2002-03-01), Segupta et al.
patent: 6542621 (2003-04-01), Brill et al.
patent: 6674877 (2004-01-01), Jojic et al.
patent: 7242423 (2007-07-01), Lin et al.
patent: 7394916 (2008-07-01), Brodsky et al.
patent: 2004/0130620 (2004-07-01), Buehler
patent: 2004/0252194 (2004-12-01), Lin
patent: 2005/0058321 (2005-03-01), Buehler
patent: 2005/0265582 (2005-12-01), Buehler et al.
patent: 2008/0226127 (2008-09-01), Brodsky et al.
Huang, T. and Russell, S. “Object Identification in a Bayesian Context.” In Proceedings of IJAI-97, 1997.
R. Collins, A. Lipton, H. Fujiyoshi, and T. Kanade, “Algorithms for cooperative multisensor surveillance,” Proceedings of the IEEE, vol. 89, No. 10, pp. 1456-1477, 2001.
Collins, Lipton, Fujiyoshi and Kanade, “Algorithms for Cooperative Multisensor Surveillance”, Invited Paper, Oct. 2001, pp. 1456-1477, vol. 89, No. 10, IEEE.
Huang, Russell, “Object Indentification in a Bayesian Context,” Computer Science Division, University of California, Berkeley, pp. 1276-1282, Probabilistic Reasoning.

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