Image analysis – Applications – Personnel identification
Reexamination Certificate
2006-07-11
2006-07-11
Patel, Kanjibhai (Department: 2625)
Image analysis
Applications
Personnel identification
C348S164000, C348S169000
Reexamination Certificate
active
07076088
ABSTRACT:
Detection of a person disguised with one or more artificial materials includes detecting reflection from at least one portion of a head of a human body in at least a portion of an upper band of the near infrared spectrum. The presence of an artificial material associated with the head of the human body is determined based on the detected reflection.
REFERENCES:
patent: 4057352 (1977-11-01), Babb
patent: 4500784 (1985-02-01), Hacskaylo
patent: 4520504 (1985-05-01), Walker et al.
patent: 4733081 (1988-03-01), Mizukami
patent: 5013917 (1991-05-01), Ulich
patent: 5180907 (1993-01-01), Udden et al.
patent: 5221919 (1993-06-01), Hermans
patent: 5293427 (1994-03-01), Ueno et al.
patent: 5703367 (1997-12-01), Hashimoto et al.
patent: 5792050 (1998-08-01), Alam et al.
patent: 5801763 (1998-09-01), Suzuki
patent: 5859921 (1999-01-01), Suzuki
patent: 5866887 (1999-02-01), Hashimoto et al.
patent: 5870138 (1999-02-01), Smith et al.
patent: 5878156 (1999-03-01), Okumura
patent: 5900942 (1999-05-01), Spiering
patent: 5940139 (1999-08-01), Smoot
patent: 6002505 (1999-12-01), Kraenert et al.
patent: 6121953 (2000-09-01), Walker
patent: 6178259 (2001-01-01), Harris
patent: 6353764 (2002-03-01), Imagawa et al.
patent: 6370260 (2002-04-01), Pavlidis et al.
patent: 6498564 (2002-12-01), Oda
patent: 6717518 (2004-04-01), Prim et al.
patent: 2002/0136435 (2002-09-01), Prokoski
patent: 0 990 416 (2000-04-01), None
patent: 97/21188 (1997-06-01), None
patent: 01/95247 (2001-12-01), None
Francine J. Prokoski: “Disguise Detection and identification using infrared imagery” (XP-001028502).
Pavlidis et al: “A Near-Infrared Fusion Scheme for Automatic Detection of Vehicle Passengers” (XP-001028284).
Fendt et al., “The neuroanatomical and neurochemical basis of conditioned fear,”Neurosci Biobehav Rev, 23(5):743-60 (May, 1999).
Jacquez et al., “The spectral reflectance of human skin in the region 0.7-2.6 μm,”Technical Report, 189,Army Medical Research Laboratory, Fort Knox (Apr., 1955).
Jordan et al., “Hierarchical Mixtures of Experts and the EM Algorithm,”Neural Computation, 6,pp. 181-214 (1994).
Levin et al., “The energy expended in chewing gum,”New England Journal of Medicine, 341(27):2100 (Dec., 1999).
Mendez,The Master of Disguise,William Morrow and Co., New York, N.Y.; cover page, title page, copyright page and table of contents only; 4 pgs. (1999).
Moghaddam et al., “Probabilistic Visual Learning for Object Recognition,”IEEE Trans. Pattern Analysis and Machine Intelligence, 19(7):696-710 (Jul., 1997).
Otsu, “A Threshold Selection Method from Gray-Level Histograms,”IEEE Trans. Systems, Man And Cybernetics 9:(1)62-65 (Jan., 1979).
Pavlidis et al., “Automatic passenger counting in the high occupancy vehicle (HOV) lanes”Proceedings 1999 Annual Meeting of the Intelligent Transportation Society of America,Washington, D.C. (Apr. 19-22, 1999).
Pavlidis et al., “A near-infrared fusion scheme for automatic detection of vehicle passengers,”Proceedings 1999 IEEE Workshop on Computer Vision Beyond the Visible Spectrum: Methods and Applications,41-48, Fort Collins, C.O. (Jun. 22, 1999).
Penev et al., “Local feature analysis: a general statistical theory for object representation,”Network: Computation in Neural Systems,7(3):477-500 (Aug., 1996).
Pentland et al., “Face recognition for smart environments,”IEEE Computer, 33(2):50-55 (Feb., 2000).
Phillips et al., “The FERET database and evaluation procedure for face-recognition algorithms,”Image and Vision Computing, 16(5):295-306 (Apr., 1998).
Prokoski “Disguise detection and identification using infrared imagery,”Procedings of SPIE, Optics, and Images in Law Enforcement II, 339:27-31, A.S. Hecht, ed., Arlington, V.A. (May, 1982).
Sabins,Remote Sensing, Principles and Interpretation,W.H. Freeman and Company, New York, N.Y.; cover page, title page, copyright page and table of contents only; 7 pgs. (1997, 3rd ed.).
Sliney, “Laser and LED eye hazards: safety standards,”Optics and Photonics News,pp 32-(Sep., 1997).
Visionics Corporation, “Face detection constantly searches for faces in a datastream” Jersey City, N.J.; retrieved from the Internet on Jun. 25, 2001, <URL:http://www.visionics.com/faceit/tech/detect.html>, 1 pg.
Wiskott et al., “Face recognition by elastic bunch graph matching,”IEEE Trans. Pattern Analysis and Machine Intelligence, 19(7):775-779 (Jul., 1997).
Zhu et al., “Region Competition: Unifying Snakes, Region Growing, and Bayes/MDL for Multiband Image Sementation, IEEE Transactions on Image Analysis and Machine Intelligence,” 18(9):884-900 (Sep., 1996).
Prokoski Francine J: “Disguise Detection and Identification Using Infrared Imagery” Optics and Images in Law Enforcement 2.; Alington, VA, USA, vol. 339, 1983, pp. 27-31, XP001028502 Proceedings of SPIE—The International Society for Optical Engineering 1983 SPIE, Bellingham, WA, USA, p. 29 Section “Disguise Effects”, p. 31, Line 1—Line 10.
Prokoski F J et al; “Identification of Individuals by Means of Facial Thermograph” Proceedings of the International Carnahan Conference on Security Technology: Crime Countermeasures. Atlanta, Oct. 14-16, 1992, New York, IEEE, US Oct. 14, 1992 pp. 120-125, XP000357473, p. 121, Right-Hand Column, Line 4—p. 122. Left-Hand Column, Last Paragraph; Table 2.
Pavlidis I et al: “A Near-Infrared Fusion Scheme for Automatic Detection of Vehicle Passengers” Proceedings IEEE Workshop on Computer Vision Beyond the Visible Spectrum: Methods and Applications (CVBVS'99), Proceedings of IEEE Workshop on Computer Vision; Beyond the Visible Spectrum—Methods and Applications. Fort Collins. Co., USA, Jun. 21-22, pp. 41-48, XP001028284 1999, Los Alamitos, CA, USA, IEEE Comput. Soc, USA, ISBN: 0-7695-0050-1 Abstract.
Ballard, “Generalizing the Hough Transform to Detect Arbitrary Shapes, ”Pattern Recognition, vol. 13, No. 2, pp. 111-122, 1981.
Huang et al., “Face Detection and Precise Eyes Location,”in Proceedings 15thInternational Conference on Pattern Recognition, 2000, vol. 4, pp. 722-727.
Jeon et al., “Rotation Invariant Face Detection Using a Model-Based Clustering Algorithm,” in Proceedinsg 2000 IEEE International Conference on Multimedia and Expo, 2000, vol. 2, pp. 1149-1152.
Kawato et al., “Two Step Approach for Real-Time Eye Tracking with a New Filtering Technique,” in Proceedings 2000 IEEE International Conference on Systems, Man, and Cybernetics, 2000, vol. 2, pp. 1366-1371.
Kim et al., “Face Detection Using Multi-Modal Information” in Proceedings Fourth IEEE International Conference on Automatic Face and Gesture Recognition, 2000, pp. 14-19.
Li et al., “Multi-View Face Detection Using Support Vector Machines and Eigenspace Modeling,” in Proceedings Fourth International Conference on Knowledge-Based Intelligent Engineering Systems, & Allied Technologies, 2000, vol. 1, pp. 241-244.
Lv et al., “A Novel Algorithm for Rotated Human Face Detection” in Proceedings IEEE Conference on Computer Vision and Pattern Recognition, 2000, vol. 1, pp. 760-765.
Morimoto et al., “Real-Time Multiple Face Detection Using Active Illumination,” in Proceedings Fourth IEEE International Conference on Automatic Face and Gesture Recognition, 2000. pp. 8-13.
Pavlidis et al., “A Vehicle Occupant Counting System Based on Near Infrared Phenomenology and Fuzzy Neural Classification,” IEEE Transactions on Intelligent Transportation Systems, vol. 1, No. 2, pp. 72-85, Jun. 2000.
Pavlidis et al., “The Imaging Issue in an Automatic Face/Disguise Detection System,” in Proceedings IEEE Workshop on Computer Vision beyond the Visible Spectrum: Methods and Applications, 2000. pp. 15-24.
Rowley et al., “Neural Network-Based Face De
Fredrick Kris T.
Honeywell International , Inc.
Patel Kanjibhai
Tabatabai Abolfazl
LandOfFree
Near-infrared disguise detection does not yet have a rating. At this time, there are no reviews or comments for this patent.
If you have personal experience with Near-infrared disguise detection, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Near-infrared disguise detection will most certainly appreciate the feedback.
Profile ID: LFUS-PAI-O-3591564