Image analysis – Learning systems – Trainable classifiers or pattern recognizers
Reexamination Certificate
2007-01-30
2007-01-30
Mancuso, Joseph (Department: 2624)
Image analysis
Learning systems
Trainable classifiers or pattern recognizers
C382S118000, C700S047000, C704S256100
Reexamination Certificate
active
10269333
ABSTRACT:
An image processing system useful for facial recognition and security identification obtains an array of observation vectors from a facial image to be identified. A Viterbi algorithm is applied to the observation vectors given the parameters of a hierarchical statistical model for each object, and a face is identified by finding a highest matching score between an observation sequence and the hierarchical statistical model.
REFERENCES:
patent: 5454043 (1995-09-01), Freeman
patent: 5596362 (1997-01-01), Zhou
patent: 5710590 (1998-01-01), Ichige et al.
patent: 5754695 (1998-05-01), Kuo et al.
patent: 5850470 (1998-12-01), Kung et al.
patent: 5887069 (1999-03-01), Sakou et al.
patent: 6024852 (2000-02-01), Tamura et al.
patent: 6072494 (2000-06-01), Nguyen
patent: 6075895 (2000-06-01), Qiao et al.
patent: 6108005 (2000-08-01), Starks et al.
patent: 6128003 (2000-10-01), Smith et al.
patent: 6184926 (2001-02-01), Khosravi et al.
patent: 6185529 (2001-02-01), Chen et al.
patent: 6191773 (2001-02-01), Maruno et al.
patent: 6212510 (2001-04-01), Brand
patent: 6215890 (2001-04-01), Matsuo et al.
patent: 6219639 (2001-04-01), Bakis et al.
patent: 6222465 (2001-04-01), Kumar et al.
patent: 6304674 (2001-10-01), Cass et al.
patent: 6335977 (2002-01-01), Kage
patent: 6385331 (2002-05-01), Harakawa et al.
patent: 6594629 (2003-07-01), Basu et al.
patent: 6609093 (2003-08-01), Gopinath et al.
patent: 6624833 (2003-09-01), Kumar et al.
patent: 6633844 (2003-10-01), Verma et al.
patent: 6678415 (2004-01-01), Popat et al.
patent: 6751354 (2004-06-01), Foote et al.
patent: 6816836 (2004-11-01), Basu et al.
patent: 6952687 (2005-10-01), Andersen et al.
patent: 6964123 (2005-11-01), Maes et al.
patent: 2002/0036617 (2002-03-01), Pryor
patent: 2002/0093666 (2002-07-01), Foote et al.
patent: 2002/0102010 (2002-08-01), Liu et al.
patent: 2002/0135618 (2002-09-01), Maes et al.
patent: 2002/0140718 (2002-10-01), Yan et al.
patent: 2002/0161582 (2002-10-01), Basson et al.
patent: 2003/0123754 (2003-07-01), Toyama
patent: 2003/0144844 (2003-07-01), Colmenarez et al.
patent: 2003/0154084 (2003-08-01), Li et al.
patent: 2003/0171932 (2003-09-01), Juang
patent: 2003/0190076 (2003-10-01), DeLean
patent: 2112273 (1995-08-01), None
patent: 2093890 (1997-10-01), None
patent: 2112273 (1998-05-01), None
patent: WO 00/36845 (2000-06-01), None
Liang et al, Speaker Independent Audio-Visual Continuous Speech Recognition, Aug. 2002, Multimedia and Expo, vol. 2, p. 25-28.
Hennecke, et al: Automatic Speech Recognition System Using Acoustic and Visual Signals, IEEE, 1996.
Dupont et al: Audio-Visual Speech Modeling for Continuous Speech Recognition, Sep. 2000, IEEE Transactions on Multimedia, vol. 2, No. 3, pp. 141-151.
Potamianos et al: An Image Transform Approach for HMM Based Automatic Lipreading, Proc. Int. conf. Image Processing, 1998.
Logan et al: Factorial Hidden Markov Models for Speech Recognition: Preliminary Experiments; Cambridge Research Laboratory; Technical report Series; CRL 97/7; 9- 1997.
Dugad: Tutorial on Hidden Markov Models; Technical Report No.: SPANN-96, May 1996, pp. 1-6.
Brand: Coupled Hidden Markov Models for Modeling Interacting Processes; Learning and Common Sense Tech Report 405, Jun 3, 1997, MIT Media Lab Perceptual Computing.
Nefian et al: An Embedded HMM-Based Approach for Face Detection and Recognition; IEEE Int'l Conf on Acoustics, Speech and Signal Processing, Mar. 15-19, 1999; p. 3553-3556.
Nefian: Embedded Bayesian Networks for Face Recognition; IEEE In'tl Conference on Multimedia and Expo; IEEE vol. 2, Aug. 26, 2002, pp. 133-136.
Kennedy, et al: Identification of Coupled Markov Chain Model with Application; 31st IEEE Conference on Decision and Control, Dec. 16-18, 1992; vol. 4, pp. 3529.
Ramesh, et al: Automatic Selection of Tuning Parameters for Feature Extraction Sequences; IEEE Comp Society Conf on Comp Vision and Pattern Recognition; Jun. 21-23, 1994, pp. 672-677.
Potamianos et al: Linear Discriminant Analysis for Speechreading; IEEE Workshop on Multimedia Processing, Dec. 1998.
Chan: HHH-Based Audio-Visual Speech Recognition Integrating Geometric and Appearance-Based Visual Features, IEEE 2001.
Pavlovic: Dynamic Bayesian Networks for Information Fusion with Applications to Human-Computer Interfaces; Thesis, Univ of Urbana-Champaign, 1999, pp. iii-ix &.
Rezek, et al: Coupled Hidden Markov Models for Biosignal Interaction; Advances in Medical Signal and Information Processing, Sep. 4-6, 2000; pp. 54-59.
Pavlovic: Multimodal Tracking and Classification of Audio-Visual Features; 1998 Int'l Conference on Image Processing, ICIP Proceedings; Oct. 4-7, 1998, vol. 1; pages.
Kristjansson, et al: Event-Coupled Hidden Markov Models; 2000 IEEE Int'l Conference on Multimedia and Expo, Jul. 30-Aug. 2, 2000; vol. 1; pp. 385-388.
Rezek, et al: Coupled Hidden Markov Models for Biosignal Interaction; Advances in Medical Signal and Information Processing, Sep. 4-6, 2000; pp. 54-59.
Fu, et al: Audio-Visual Speaker Identification Using Coupled Hidden Markov Models; 2003 Int'l Conference on Image Processing (ICIP), Sep. 14-17, 2003; vol. 2, pages.
Nefian, et al: A Coupled HMM for Audio-Visual Speech Recognition; IEEE Int'l Conf on Acousitics, Speech, and Signal Processing, vol. 3 of 4, May 13-17, 2002, pages.
Wikipedia, definition of Hidden Markov Model, 3 pages.
Wikipedia, definition of Viterbi Algorithm, 5 pages.
Rezek, et al: Learning Interaction Dynamics with Coupled Hidden Markov Models; IEEE Science, Measurement and Technology, Nov. 2000; vol. 147, Issue 6; pages.
U.S. Appl. No. 10/143,459, filed May 23, 2006.
U.S. Appl. No. 10/142,447, filed May 17, 2006.
U.S. Appl. No.: 10/269,381 filed Jan. 6, 2003 Final Office Action dated Jul. 11, 2006.
U.S. Appl. No.: 10/143,459 filed May 9, 2002 Office Action dated May 23, 2006.
Pending U.S. Appl. No.: 10/143,459 filed May 9, 2002 inventor: Liang; Office Action dated Oct. 31, 2006.
Wikipedia: Definition of LInear Discriminant Analysis.
NETI et al.: Large-Vocabulary Audio-Visual Speech Recognition: A Summary of the Johns Hopkins Summer 2000 Workshop.
Luettin et al.; Asynchronous Stream Modelling for Large Vocabulary Audio-Visual Speech Recognition, Proceedings of the 2001 IEEE Int'l Conference of Acoustics, Speech and Signal Processing (ICASSP'01), May 7-11, 2001, pp. 169-172.
Gordan: A Temporal Network for Support Vector Machine Classifiers for the Recognition of Visual Speech, Methods and Applications of Artificial Intelligence: Proceedings of the 2nd hellenic Conference on AI (SETN 2002), Thessaloniki, Greece, Apr. 11-12, 2002, pp. 355-365.
Ming-Husan Yang et al.: Detecting Faces in Images: A Survrey, IEEE trans Pattern Analysis and Machine Intelligence, vol. 24, No. 1, Jan. 2002, pp. 34-58.
Yongmin Li et al.: Multi-view Face Detection Using Support Vector Machines and Eigenspace Modelling, Proceedings on the Int'l Conference on Knowledge-based Intelligent Engineering Systems and
Batra: Modeling and Efficient Optimization for Object-Based Scalability and Some Related Problems, IEEE Transactions onImage processing, vol. 9, No. 10, Oct. 10, 2000, pp. 1677-1692.
Pending U.S. Appl. No.: 10/326,368 (Attorney Docket No.: 42P14472); Office Action dated Jul. 25, 2006.
Blakely , Sokoloff, Taylor & Zafman LLP
Intel Corporation
Yuan Katheen
LandOfFree
Image recognition using hidden markov models and coupled... does not yet have a rating. At this time, there are no reviews or comments for this patent.
If you have personal experience with Image recognition using hidden markov models and coupled..., we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Image recognition using hidden markov models and coupled... will most certainly appreciate the feedback.
Profile ID: LFUS-PAI-O-3726901