Hidden markov model based object tracking and similarity...

Details Hidden markov model based object tracking and similarity... Hidden markov model based object tracking and similarity...

2007-08-28

2007-08-28

Vincent, David (Department: 2129)

Data processing: structural design, modeling, simulation, and em

Modeling by mathematical expression

C382S103000, C382S107000

Reexamination Certificate

active

10878941

ABSTRACT:
A method models a set of trajectories of a set of objects; there is one trajectory for each object. A sequence of positions of each object is obtained over a duration of time to define a trajectory of the object. The sequence of positions is then projected to a hidden Markov model to model the trajectory of each object.

REFERENCES:
patent: 6304674 (2001-10-01), Cass et al.
patent: 6754389 (2004-06-01), Dimitrova et al.
patent: 2003/0058341 (2003-03-01), Brodsky et al.
patent: 2004/0131254 (2004-07-01), Liang et al.
Narada Dilp Warakagoda and Norges Tekniske Høgskole, “A Hybrid ANN-HMM ASR system with NN based adaptive preprocessing” May 10, 1996. “Definition of Hidden Markov Model” pp. 1-3□□.
D.G. Elliman and P.J. Connor, “Orientation and Scale Invariant Symbol Recognition Using a Hidden Markov Model”, Apr. 7-9, 1992 pp. 331-334.
C. Jaynes, S. Webb, R. Steele, and Q. Xiong. An open development environment for evaluation of video surveillance systems.Proc. of PETS, Copenhagen, Denmark, Jun. 2002.
M. Harville. Stereo person tracking with adaptive plan-view statistical templates.Hawaii Int. Conf. on System Sciences, p. 746755, 1993.
C. Needham and R. Boyle. Performance evaluation metrics and statistics for positional tracker evaluation.Third International Conference of Computer Vision Systems, pp. 278-289, Graz, Austria, Apr. 2003.
A. Senior, A. Hampapur, Y. Tian, L. Brown, S. Pankanti, and R. Bolle. Appearance models for occlusion handling.Proc. of PETS, Hawaii, Kauai, Dec. 2001.
T. Ellis. Performance metrics and methods for tracking in surveillance.Proc. of PETS, Copenhagen, Denmark, Jun. 2002.
F. Porikli and O. Tuzel. Human Body Tracking by Adaptive Background Models and Mean-Shift Analysis.Proc. of PETS, Graz, Austria, Apr. 2003.

Affiliated with

Also associated with

Rating

Hidden markov model based object tracking and similarity... does not yet have a rating. At this time, there are no reviews or comments for this patent.

If you have personal experience with Hidden markov model based object tracking and similarity..., we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Hidden markov model based object tracking and similarity... will most certainly appreciate the feedback.

Rate now

Comments { 0 }

Profile ID: LFUS-PAI-O-3860021