Image analysis – Applications – Target tracking or detecting
Reexamination Certificate
2004-11-15
2008-12-09
Johns, Andrew W (Department: 2624)
Image analysis
Applications
Target tracking or detecting
C348S169000
Reexamination Certificate
active
07463754
ABSTRACT:
A system and a method are disclosed for adaptive probabilistic tracking of an object within a motion video. The method utilizes a time-varying Eigenbasis and dynamic, observation and inference models. The Eigenbasis serves as a model of the target object. The dynamic model represents the motion of the object and defines possible locations of the target based upon previous locations. The observation model provides a measure of the distance of an observation of the object relative to the current Eigenbasis. The inference model predicts the most likely location of the object based upon past and present observations. The method is effective with or without training samples. A computer-based system provides a means for implementing the method. The effectiveness of the system and method are demonstrated through simulation.
REFERENCES:
patent: 5416899 (1995-05-01), Poggio et al.
patent: 5680531 (1997-10-01), Litwinowicz et al.
patent: 5960097 (1999-09-01), Pfeiffer et al.
patent: 6047078 (2000-04-01), Kang
patent: 6226388 (2001-05-01), Qian et al.
patent: 6236736 (2001-05-01), Crabtree et al.
patent: 6295367 (2001-09-01), Crabtree et al.
patent: 6337927 (2002-01-01), Elad et al.
patent: 6346124 (2002-02-01), Geiser et al.
patent: 6363173 (2002-03-01), Stentz et al.
patent: RE37668 (2002-04-01), Etoh
patent: 6400831 (2002-06-01), Lee et al.
patent: 6539288 (2003-03-01), Ishida et al.
patent: 6580810 (2003-06-01), Yang et al.
patent: 6683968 (2004-01-01), Paviovic et al.
patent: 6757423 (2004-06-01), Amini
patent: 6870945 (2005-03-01), Schoepflin et al.
patent: 6999600 (2006-02-01), Venetianer et al.
patent: 7003134 (2006-02-01), Covell et al.
patent: 2001/0048753 (2001-12-01), Lee et al.
patent: 2004/0208341 (2004-10-01), Zhou et al.
patent: WO 00/48509 (2000-08-01), None
Black, Michael J. et al., “EigenTracking: Robust Matching and Tracking of Articulated Objects Using a View-Based Representation,” International Journal of Compuber Vision, 1998, pp. 63-84, vol. 26, No. 1.
Collins, R.T. et al., “On-Line Selection of Discriminative Tracking Features,” Carnegie Mellon University, 2003, pp. 1-14.
International Search Report and Written Opinion, PCT/US05/24582, Feb. 9, 2006, 8 pages.
“Pose Invariant Affect Analysis Using Thin-Plate Splines,” To appear Int. Conference on Pattern Recognition, Cambridge, UK, Aug. 2004, [online] [Retrieved on Oct. 9, 2006] Retrieved from the Internet<URL:http://cvrr.ucsd.edu/publications/2004/RAAS-ICPR2004.pdf>.
Tipping, Michael E. et al., “Probabilistic Principal Component Analysis,” Journal of the Royal Statistical Society, Series B, Sep. 27, 1998, pp. 611-622, vol. 61, part 3.
PCT International Search Report and Written Opinion, PCT/US06/23350, Sep. 25, 2007, 8 pages.
International Search Report and Written Opinion, PCT/US04/38189, Mar. 2, 2005.
Lim Jongwoo
Lin Ruei-Sung
Ross David
Yang Ming-Hsuan
Duell Mark
Fenwick & West LLP
Honda Motor Co.
Johns Andrew W
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