Image analysis – Applications – Target tracking or detecting
Reexamination Certificate
2010-09-24
2011-12-20
Zarka, David (Department: 2624)
Image analysis
Applications
Target tracking or detecting
C382S201000
Reexamination Certificate
active
08081799
ABSTRACT:
A method and system for processing image data to identify objects in an image. A gradient vector image is generated from the image, the gradient vector image identifying a gradient magnitude value and a gradient direction for each pixel of the image. Lines are identified in the gradient vector image. It is determined whether the identified lines are perpendicular, whether more than a predetermined number of pixels on each of the lines identified as perpendicular have a gradient magnitude greater than a predetermined threshold, and whether the individual lines which are identified as perpendicular are within a predetermined distance of each other. A portion of the image is identified as an object if the identified lines are perpendicular, more than the predetermined number of pixels on each of the lines have a gradient magnitude greater than the predetermined threshold, and are within a predetermined distance of each other.
REFERENCES:
patent: 4667190 (1987-05-01), Fant
patent: 4835532 (1989-05-01), Fant
patent: 5065447 (1991-11-01), Barnsley et al.
patent: 5142592 (1992-08-01), Moler
patent: 5341142 (1994-08-01), Reis et al.
patent: 5448686 (1995-09-01), Borrel et al.
patent: 5500904 (1996-03-01), Markandey et al.
patent: 5550937 (1996-08-01), Bell et al.
patent: 5555555 (1996-09-01), Sato et al.
patent: 5612901 (1997-03-01), Gallegos et al.
patent: 5612928 (1997-03-01), Haley et al.
patent: 5631970 (1997-05-01), Hsu
patent: 5640468 (1997-06-01), Hsu
patent: 5742710 (1998-04-01), Hsu et al.
patent: 5859929 (1999-01-01), Zhou et al.
patent: 5870502 (1999-02-01), Bonneau et al.
patent: 5917935 (1999-06-01), Hawthorne et al.
patent: 5946417 (1999-08-01), Bonneau et al.
patent: 5978520 (1999-11-01), Maruyama et al.
patent: 5995668 (1999-11-01), Corset et al.
patent: 6002794 (1999-12-01), Bonneau et al.
patent: 6026177 (2000-02-01), Mong et al.
patent: 6052485 (2000-04-01), Nelson et al.
patent: 6084989 (2000-07-01), Eppler
patent: 6134353 (2000-10-01), Makram-Ebeid
patent: 6195444 (2001-02-01), Simanovsky et al.
patent: 6240369 (2001-05-01), Foust
patent: 6263091 (2001-07-01), Jain et al.
patent: 6310967 (2001-10-01), Heine et al.
patent: 6337925 (2002-01-01), Cohen et al.
patent: 6404920 (2002-06-01), Hsu
patent: 6404923 (2002-06-01), Chaddha
patent: 6507670 (2003-01-01), Moed
patent: 6542621 (2003-04-01), Brill et al.
patent: 6597818 (2003-07-01), Kumar et al.
patent: 6603880 (2003-08-01), Sakamoto
patent: 6618490 (2003-09-01), Cham et al.
patent: 6741744 (2004-05-01), Hsu
patent: 2002/0057823 (2002-05-01), Sharma et al.
patent: 2002/0057838 (2002-05-01), Steger
patent: 2002/0114517 (2002-08-01), Wolfson et al.
patent: 2002/0159636 (2002-10-01), Lienhart et al.
patent: 2003/0038975 (2003-02-01), Ohara et al.
patent: 2003/0081836 (2003-05-01), Averbuch et al.
patent: 2003/0123736 (2003-07-01), Xu
patent: 2003/0144585 (2003-07-01), Kaufman et al.
patent: 2003/0185420 (2003-10-01), Sefcik et al.
patent: 2003/0190075 (2003-10-01), Averbuch et al.
patent: 2003/0220746 (2003-11-01), Ghosh et al.
patent: 2005/0013486 (2005-01-01), Wiedemann et al.
patent: 2008/0063238 (2008-03-01), Wiedemann et al.
patent: 2008/0219506 (2008-09-01), Wiedemann et al.
patent: 2008/0219555 (2008-09-01), Wiedemann et al.
patent: 2008/0317345 (2008-12-01), Wiedemann et al.
http://en.wikipedia.org/wiki/Sobel—operator titled “Sobel Operator”, Wikipedia, accessed Mar. 27, 2009; last modified Mar. 25, 2009, 15:31.
Wiedemann et al., Copending U.S. Appl. No. 10/622,144 filed Jul. 18, 2003 entitled “Method and Apparatus for Automatic Object Identification”.
Wiedemann et al., related U.S. Appl. No. 11/980,635, now Patent No. 7,676,065 issued Mar. 9, 2010 entitled “Method and Apparatus for Automatic Identification of Objects in an Image”.
Wiedemann et al., related U.S. Appl. No. 12/073,765, now Patent No. 7,738,707 issued Jun. 15, 2010 entitled “Method and Apparatus for Automatic Object Identification of Bodies in Water”.
Wiedemann et al., related U.S. Appl. No. 12/073,777, now Patent No. 7,672,484 issued Mar. 2, 2010 entitled “Method and Apparatus for Automatic Identification of Linear Objects in an Image”.
Wiedemann et al., Copending U.S. Appl. No. 12/073,809 filed Mar. 10, 2008 entitled “Method and Apparatus for Automatic Object Identification”.
Wiedemann et al., Copending Application filed Sep. 24, 2010 entitled “Method and Apparatus for Automatic Object Identification”.
Cham, T. et al., “A Statistical Framework for Long-Range Feature Matching in Uncalibrated Image Mosaicing.” Computer Vision and Pattern Recognition, 1998, pp. 1-6.
Yao et al., Fast Image Segmentation by Sliding in the Derivative Terrain, Pro. SPIE, vol. 1607, 1991, pp. 369-379.
Mortensen et al., Tobaggan-Based Intelligent Scissors with a Four-Parameter Edge Model, IEEE, 1999, pp. 452-458.
Gratsch Colleen Flynn
Lee Harry C.
Phurrough Larry
Skoblick Richard
Wiedemann Melissa
Buchanan & Ingersoll & Rooney PC
Lockheed Martin Corporation
Zarka David
LandOfFree
Method and apparatus for automatic object identification... does not yet have a rating. At this time, there are no reviews or comments for this patent.
If you have personal experience with Method and apparatus for automatic object identification..., we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Method and apparatus for automatic object identification... will most certainly appreciate the feedback.
Profile ID: LFUS-PAI-O-4300022