Linking tracked objects that undergo temporary occlusion

Image analysis – Applications – Target tracking or detecting

Reexamination Certificate

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

C348S142000, C348S143000, C348S169000

Reexamination Certificate

active

10638021

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), Sengupta et al.
patent: 6542621 (2003-04-01), Brill et al.
patent: 6674877 (2004-01-01), Jojic et al.
patent: 7242423 (2007-07-01), Lin
patent: 2004/0130620 (2004-07-01), Buehler et al.
patent: 2004/0252194 (2004-12-01), Lin
patent: 2005/0058321 (2005-03-01), Buehler
patent: 2005/0265582 (2005-12-01), Buehler et al.
Huang, T. and Russell, S. “Object Identifcation in a bayesian context.” In Proceedings of IJCAI-97, 1997.
T. Chang and S. Gong. “Tracking multiple people with a multicamera system”. In IEEEWorkshop on Multi-Object Tracking, 2001.
M. J. Black and D. J. Fleet. “Probabilistic detection and tracking of motion discontinuities.” ICCV, pp. 551-558, 1999.
M. K. Teal and T. J. Ellis, “Occlusion prediction based on target dynamics and spatial reasoning,” in Proc. IEEE 6th Int. Conf. Image Processing & Its Applications, vol. 1, 1997, pp. 219-223.
E. Loutas, K. Diamantaras, and I. Pitas, “Occlusion resistant object tracking,” in Proc. of 2001 Int. Conf. on Image Processing, 2001, vol. II, pp. 65-68.
Kettnaker and Zabih, “Bayesian Multi-Camera Surveillance”, IEEE Proc. Computer Vision and Pattern Recognition, 1999 II: 253-259.

LandOfFree

Say what you really think

Search LandOfFree.com for the USA inventors and patents. Rate them and share your experience with other people.

Rating

Linking tracked objects that undergo temporary occlusion does not yet have a rating. At this time, there are no reviews or comments for this patent.

If you have personal experience with Linking tracked objects that undergo temporary occlusion, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Linking tracked objects that undergo temporary occlusion will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFUS-PAI-O-3942546

  Search
All data on this website is collected from public sources. Our data reflects the most accurate information available at the time of publication.