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Title: US6393136: Method and apparatus for determining eye contact
[ Derwent Title ]


Country: US United States of America

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13 pages

 
Inventor: Amir, Arnon; Cupertino, CA
Flickner, Myron Dale; San Jose, CA
Koons, David Bruce; San Jose, CA
Morimoto, Carlos Hitoshi; San Jose, CA
Zhai, Shumin; San Jose, CA

Assignee: International Business Machines Corporation, Armonk, NY
other patents from INTERNATIONAL BUSINESS MACHINES CORPORATION (280070) (approx. 44,393)
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Published / Filed: 2002-05-21 / 1999-01-04

Application Number: US1999000225476

IPC Code: Advanced: G06F 3/00; G06F 3/01; G06T 7/00;
Core: more...
IPC-7: G06K 9/00;

ECLA Code: G06F3/01B; G06T7/00P;

U.S. Class: Current: 382/103; 348/014.01; 348/169; 382/107; 382/116; 382/128; 382/173;
Original: 382/103; 382/107; 382/173; 382/128; 382/116; 348/014; 348/169;

Field of Search: 382/103,166,173,118 348/015,169 351/226,210

Priority Number:
1999-01-04  US1999000225476

Abstract:     A method and apparatus determine when a subject is looking at a specific target area by estimating a divergence angle between (1) the direction in which the subject is looking and (2) the direction from the subject directly to the target area. This technique accesses whether the subject is looking at a particular area. The invention may further condition this determination according to the subject's distance from the target area, because there is less tolerance for divergent angles when the subject is farther away. In one embodiment, the divergence angle is estimated using the position of a glint of light in the subject's pupil. The glint is created by a light source located in the target area. If the glint is sufficiently central to the pupil, with the camera and light source being near the target area, the subject is looking at the target area. At long distances, when the glint is not sufficiently discernable from the pupil, another technique may be employed to estimate divergence angle. Namely, the plane of the subject's face is computed, and analyzed with respect to a vector between the subject's face and the target area. If the plane is substantially normal to the vector, the subject is looking at the target area.

Attorney, Agent or Firm: Dan Hubert & Assoc. ;

Primary / Asst. Examiners: Boudreau, Leo; Choobin, M B

INPADOC Legal Status: Show legal status actions

Family: None

First Claim:
Show all 22 claims
What is claimed is:     1. A method for determining whether a subject is looking at a target area, the subject having a face including an eye with a pupil, the method comprising the operations of:
  • if distance between the subject and the target area is less than a predetermined range, performing operations comprising:
    • operating a light source to create a glint upon the subject's eye;
    • using a light sensor to detect the glint and measure glint position;
    • receiving a machine-readable representation of the pupil;
    • analyzing relative position of the glint with respect to the pupil to determine whether the relative position satisfies predetermined criteria; and
    • only if the relative position satisfies the predetermined criteria, providing an eye contact output declaring that the subject is looking at the target area;
  • otherwise, if distance between the subject and the target area is less than the predetermined range, performing operations comprising:
    • receiving a machine-readable input representing three-dimensional positions of multiple points on the face;
    • using the points to compute a face plane describing an average orientation of the face;
    • determining alignment between the face plane and the target area; and
  • if the alignment between the face plane and the target area meets predetermined criteria, providing an eye contact output declaring that the subject is looking at the target area.


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Forward References: Show 5 U.S. patent(s) that reference this one

       
U.S. References: Go to Result Set: All U.S. references   |  Forward references (5)   |   Backward references (15)   |   Citation Link

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Patent  Pub.Date  Inventor Assignee   Title
Buy PDF- 14pp US4275385  1981-06 White  Bell Telephone Laboratories, Incorporated Infrared personnel locator system
Buy PDF- 18pp US4625329  1986-11 Ishikawa et al.  Nippondenso Co., Ltd. Position analyzer for vehicle drivers
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Buy PDF- 27pp US4950069  1990-08 Hutchinson  University of Virginia Eye movement detector with improved calibration and speed
Buy PDF- 40pp US5016282  1991-05 Tomono et al.  ATR Communication Systems Research Laboratories Eye tracking image pickup apparatus for separating noise from feature portions
Buy PDF- 24pp US5220361  1993-06 Lehmer et al.  Allergan Humphrey Gaze tracking for field analyzer
Buy PDF- 16pp US5430809  1995-07 Tomitaka  Sony Corporation Human face tracking system
Buy PDF- 21pp US5432866  1995-07 Sakamoto  NEC Corporation Method for detecting eye structure and its apparatus
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Buy PDF- 26pp US5596362  1997-01 Zhou  Lucent Technologies Inc. Low bit rate audio-visual communication having improved face and lip region detection
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Buy PDF- 14pp US5995639  1999-11 Kado et al.  Matsushita Electric Industrial Co., Ltd. Apparatus for identifying person
Buy PDF- 47pp US6118888  2000-09 Chino et al.  Kabushiki Kaisha Toshiba Multi-modal interface apparatus and method
Buy PDF- 10pp US6122400  2000-09 Reitmeier  Sarnoff Corporation Compression encoder bit allocation utilizing colormetric-adaptive weighting as in flesh-tone weighting
       
Foreign References: None

Other References:
  • Ebisawa et al., "Effectiveness of Pupil Area Detection Technique Using Two Light Sources and Image Difference Method", Proc. of the 15th Ann. Int'l Conf. of IEEE Engineering in Medicine and Biology Society, vol. 15, (Jan. 1993), pp. 1268-1269.
  • Ebisawa, "Unconstained Pupil Detection Technique Using Two Light Sources and the Image Difference Method", Visualization and Intelligent Design in Engineering and Architecture (1995), pp. 79-89.
  • Fieguth et al., "Color-Based Tracking of Heads and Other Mobile Objects at Video Frame Rates", Proc. IEEE Conference on Computer Vision and Pattern Recognition (1997), pp. 21-27.
  • Govindaraju et al., "A Computational Model For Face Location," Proc. of the Int'l Conf. on Computer Vision (Dec. 1990), pp. 718-721, Osaka, Japan.
  • Harville et al., "Tracking People With Integrated Stereo, Color, and Face Detection,", Proc. of the IEEE Conference on Computer Vision and Pattern Recognition, Jun. 1998, pp. 601-608.
  • Kothari et al., "Detection of Eye Locations in Unconstrained Visual Images", Proc. Int'l Conf. on Image Processing (1996), Switzerland, pp. 519-522.
  • Poggio et al., "Example-Based Learning for View-Based Human Face Detection," MIT Al Lab TR-Al-1521 (1994), pp. 1-20.
  • Scassellati, "Eye Finding via Face Detection for a Foveated, Active Vision System," Proceedings of the 15th Conf. on Artificial Intelligence (AAAI-98), ISBM 0-262-51098-7, Jul. 26-30, 1998.
  • Scassellati, "Real-Time Face and Eye Detection," world-wide-web, 1998.
  • Stiefelhagen et al., "A Model-Based Gaze Tracking System," Proc. Joint Symposium on Intelligence and Systems (1996), pp. 304-310.
  • Sirohey, "Human Face Segmentation and Identification", CAR-TR-695, CS-TR-3176, (1993 ), pp. 1-33.
  • Waibel et al., "A Real-Time Face Tracker", Proc. of the 3rd IEEE Workshop on Applications of Computer Vision (1996), Sarasota, FL, pp. 142-147.
  • Aizawa et al., "Detection and Tracking of Facial Features," Proc. of the SPIE Com. and Image Proc. (1995), v. 2501, Taipei Taiwan, pp. 1161-1172.
  • Baluja et al., "Neural Network-Based Face Detection," Proc. IEEE Conf. on Computer Vision and Pattern Recognition (1996), San Francisco, CA, pp. 203-208.
  • Baluja et al., "Rotation Invariant Neutral Network-Based Face Detection," Proc. IEEE Conf. on Computer Vision and Pattern Recognition (Jun. 1998), Santa Barbara, CA, pp. 38-44.
  • Berard et al., "LAFTER: Lips and Face Real Time Tracker," Proc. IEEE Conf. on Computer Vision and Pattern Recognition (Jun. 1997), Puerto Rico, pp. 123-129.
  • Birchfield, "Elliptical Head Tracking Using Intensity Gradients and Color Histograms," Proc. IEEE Conf. on Computer Vision and Pattern Recognition (1998), pp. 232-237.
  • Cohen et al., "Feature Extraction From Faces Using Deformable Template," International Journal of Computer Vision (1992), vol. 8, No. 2, pp. 99-111. (13 pages) Cited by 13 patents [ISI abstract]
  • Darrell et al., "Active Face Tracking and Pose Estimation in an Interactive Room," MIT Media Lab, TR-356 (1996), pp. 1-16.
  • Darrell et al., "A Virtual Mirror Interface Using Real-Time Robust Face Tracking," Proc. Int'l conf. on Automatic Face and Gesture Recognition (Apr. 1998), Japan, pp. 616-621.
  • Darrell et al., "Integrated Person Tracking Using Stereo, Color, and Pattern Detection," Proc. IEEE Conf. on Computer Vision and Pattern Recognition (Jun. 1998), Santa Barbara, CA, pp. 601-608.


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