Patents by Inventor Theodore Armand Camus

Theodore Armand Camus has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Patent number: 8494251
    Abstract: The present invention provides an improved system and method for measuring quality of both single and stereo video images. The embodiments of the present invention include frequency content measure for a single image or region-of-interest thereof and disparity measure for stereo images or region-of-interest thereof.
    Type: Grant
    Filed: January 12, 2009
    Date of Patent: July 23, 2013
    Assignee: SRI International
    Inventor: Theodore Armand Camus
  • Patent number: 8385599
    Abstract: The present invention is a system and a method of segmenting and detecting objects which can be approximated by planar or nearly planar surfaces in order to detect one or more objects with threats or potential threats. The method includes capturing imagery of the scene proximate a platform, producing a depth map from the imagery and tessellating the depth map into a number of patches. The method also includes classifying the plurality of patches as threat patches and projecting the threat patches into a pre-generated vertical support histogram to facilitate selection of the projected threat patches having a score value within a sufficiency criterion. The method further includes grouping the selected patches having the score value using a plane fit to obtain a region of interest and processing the region of interest to detect said object.
    Type: Grant
    Filed: October 13, 2009
    Date of Patent: February 26, 2013
    Assignee: SRI International
    Inventors: Theodore Armand Camus, Aparna Taneja, Mayank Bansal, Ankit Kumar, John Benjamin Southall
  • Patent number: 8108119
    Abstract: The present invention provides a collision avoidance apparatus and method employing stereo vision applications for adaptive vehicular control. The stereo vision applications are comprised of a road detection function and a vehicle detection and tracking function. The road detection function makes use of three-dimensional point data, computed from stereo image data, to locate the road surface ahead of a host vehicle. Information gathered by the road detection function is used to guide the vehicle detection and tracking function, which provides lead motion data to a vehicular control system of the collision avoidance apparatus. Similar to the road detection function, stereo image data is used by the vehicle detection and tracking function to determine the depth of image scene features, thereby providing a robust means for identifying potential lead vehicles in a headway direction of the host vehicle.
    Type: Grant
    Filed: April 23, 2007
    Date of Patent: January 31, 2012
    Assignee: SRI International
    Inventors: John Benjamin Southall, Mayank Bansal, Aastha Jain, Manish Kumar, Theodore Armand Camus, Aveek Kumar Das, John Richard Fields, Gary Alan Greene, Jayakrishnan Eledath
  • Patent number: 7974442
    Abstract: A vision system for a vehicle that identifies and classifies objects (targets) located proximate a vehicle. The system comprises a sensor array that produces imagery that is processed to generate depth maps of the scene proximate a vehicle. The depth maps are processed and compared to pre-rendered templates of target objects that could appear proximate the vehicle. A target list is produced by matching the pre-rendered templates to the depth map imagery. The system processes the target list to produce target size and classification estimates. The target is then tracked as it moves near a vehicle and the target position, classification and velocity are determined. This information can be used in a number of ways. For example, the target information may be displayed to the driver, the information may be used for an obstacle avoidance system that adjusts the trajectory or other parameters of the vehicle to safely avoid the obstacle.
    Type: Grant
    Filed: August 10, 2007
    Date of Patent: July 5, 2011
    Assignees: SRI International, Ford Global Technologies, Inc.
    Inventors: Theodore Armand Camus, David Hirvonen, Robert Mandelbaum, Billie Joe Call, Ian Gregory Hill, André Rieder, John Benjamin Southall
  • Patent number: 7957562
    Abstract: A vision system that forms a map of a scene proximate a platform, e.g., a vehicle, that determines the actual ground plane form the map, and that corrects the map for differences between the actual ground plane and an assumed ground plane. The vision system may remove the actual ground plane from the map to prevent false positives. The vision system can further identify and classify objects and, if appropriate, take evasive action.
    Type: Grant
    Filed: May 8, 2006
    Date of Patent: June 7, 2011
    Assignee: SRI International
    Inventors: Peng Chang, David Hirvonen, Theodore Armand Camus
  • Patent number: 7672514
    Abstract: A method and apparatus for classifying an object in an image is disclosed. Edges of an object are detected within a region of interest. Edge analysis is performed on a plurality of sub-regions within the region of interest to generate an edge score. The object is classified based on the edge score.
    Type: Grant
    Filed: March 2, 2005
    Date of Patent: March 2, 2010
    Assignee: Sarnoff Corporation
    Inventors: Peng Chang, Theodore Armand Camus
  • Patent number: 7660436
    Abstract: A stereo vision based collision avoidance systems having stereo cameras that produce imagery that is processed to produce a depth map of a scene. A potential threat is detected in the depth map. The size, position, and velocity of the detected potential threat are then estimated, and a trajectory analysis of the detected potential threat is determined using the estimated position and the estimated velocity. A collision prediction based on the trajectory analysis is determined, and then a determination is made as to whether a collision is imminent based on the collision prediction and on the estimated size of the potential threat.
    Type: Grant
    Filed: January 29, 2004
    Date of Patent: February 9, 2010
    Assignees: Sarnoff Corporation, Autoliv Electronics
    Inventors: Peng Chang, Theodore Armand Camus
  • Patent number: 7660438
    Abstract: A method and apparatus for performing collision detection is described. An object is detected within a first operational range of an object tracker. A classification of the object is determined using the object tracker. The object tracker tracks the object. The object is detected within a second operational range of a collision detector. A safety measure is activated based on the classification using the collision detector.
    Type: Grant
    Filed: January 22, 2009
    Date of Patent: February 9, 2010
    Assignee: Sarnoff Corporation
    Inventor: Theodore Armand Camus
  • Publication number: 20090195371
    Abstract: A method and apparatus for performing collision detection is described. An object is detected within a first operational range of an object tracker. A classification of the object is determined using the object tracker. The object tracker tracks the object. The object is detected within a second operational range of a collision detector. A safety measure is activated based on the classification using the collision detector.
    Type: Application
    Filed: January 22, 2009
    Publication date: August 6, 2009
    Inventor: Theodore Armand Camus
  • Publication number: 20090180682
    Abstract: The present invention provides an improved system and method for measuring quality of both single and stereo video images. The embodiments of the present invention include frequency content measure for a single image or region-of-interest thereof and disparity measure for stereo images or region-of-interest thereof.
    Type: Application
    Filed: January 12, 2009
    Publication date: July 16, 2009
    Inventor: Theodore Armand Camus
  • Patent number: 7486803
    Abstract: A method and apparatus for performing collision detection is described. An object is detected within a first operational range of an object tracker. A classification of the object is determined using the object tracker. The object tracker tracks the object. The object is detected within a second operational range of a collision detector. A safety measure is activated based on the classification using the collision detector.
    Type: Grant
    Filed: December 15, 2004
    Date of Patent: February 3, 2009
    Assignee: Sarnoff Corporation
    Inventor: Theodore Armand Camus
  • Patent number: 7466860
    Abstract: A method and apparatus for classifying an object in an image is disclosed. A plurality of sub-classifiers is provided. An object is classified using input from each of the plurality of sub-classifiers.
    Type: Grant
    Filed: August 26, 2005
    Date of Patent: December 16, 2008
    Assignee: Sarnoff Corporation
    Inventors: Peng Chang, Theodore Armand Camus
  • Patent number: 7403659
    Abstract: A method and apparatus for classifying an object in an image is disclosed. Edge energy information and/or intensity variation information is generated for an object in a region of interest of the image. The object occupying the region of interest is classified based on the edge energy information and/or intensity variation information.
    Type: Grant
    Filed: August 30, 2004
    Date of Patent: July 22, 2008
    Assignee: Sarnoff Corporation
    Inventors: Aveek Kumar Das, Theodore Armand Camus, Peng Chang
  • Publication number: 20080159620
    Abstract: A vision system for a vehicle that identifies and classifies objects (targets) located proximate a vehicle. The system comprises a sensor array that produces imagery that is processed to generate depth maps of the scene proximate a vehicle. The depth maps are processed and compared to pre-rendered templates of target objects that could appear proximate the vehicle. A target list is produced by matching the pre-rendered templates to the depth map imagery. The system processes the target list to produce target size and classification estimates. The target is then tracked as it moves near a vehicle and the target position, classification and velocity are determined. This information can be used in a number of ways. For example, the target information may be displayed to the driver, the information may be used for an obstacle avoidance system that adjusts the trajectory or other parameters of the vehicle to safely avoid the obstacle.
    Type: Application
    Filed: August 10, 2007
    Publication date: July 3, 2008
    Inventors: Theodore Armand Camus, David Hirvonen, Robert Mandelbaum, Billie Joe Call, Ian Gregory Hill, Andre Rieder, John Benjamin Southall
  • Patent number: 7321669
    Abstract: A vehicle vision system that uses a depth map, image intensity data, and system calibration parameter to determine a target's dimensions and relative position. Initial target boundary information is projected onto the depth map and onto the image intensity. A visibility analysis determines whether the rear of a target is within the system's field of view. If so, the mapped image boundary is analyzed to determine an upper boundary of the target. Then, vertical image edges of the mapped image boundary are found by searching for a strongest pair of vertical image edges that are located at about the same depth. Then, the bottom of the mapped image boundary is found (or assumed from calibration parameters). Then, the target's position is found by an averaging technique. The height and width of the target are then computed.
    Type: Grant
    Filed: July 10, 2003
    Date of Patent: January 22, 2008
    Assignees: Sarnoff Corporation, Ford Motor Company
    Inventors: John Benjamin Southall, David Hirvonen, Theodore Armand Camus
  • Patent number: 7263209
    Abstract: A vision system for a vehicle that identifies and classifies objects (targets) located proximate a vehicle. The system comprises a sensor array that produces imagery that is processed to generate depth maps of the scene proximate a vehicle. The depth maps are processed and compared to pre-rendered templates of target objects that could appear proximate the vehicle. A target list is produced by matching the pre-rendered templates to the depth map imagery. The system processes the target list to produce target size and classification estimates. The target is then tracked as it moves near a vehicle and the target position, classification and velocity are determined. This information can be used in a number of ways. For example, the target information may be displayed to the driver, the information may be used for an obstacle avoidance system that adjusts the trajectory or other parameters of the vehicle to safely avoid the obstacle.
    Type: Grant
    Filed: June 13, 2003
    Date of Patent: August 28, 2007
    Assignees: Sarnoff Corporation, Ford Motor Company
    Inventors: Theodore Armand Camus, David Hirvonen, Robert Mandelbaum, Billie Joe Call, Ian Gregory Hill, André Rieder, John Benjamin Southall
  • Patent number: 7103213
    Abstract: A method and apparatus for classifying an object in an image is disclosed. A depth image is provided. At least one area of the depth image unsatisfactory for object identification are identified. A plurality of two-dimensional projections of surface normals in the depth image is determined without considering the unsatisfactory at least one area. One or more objects are classified based on the plurality of two-dimensional projections of surface normals.
    Type: Grant
    Filed: March 2, 2005
    Date of Patent: September 5, 2006
    Assignee: Sarnoff Corporation
    Inventors: David Hirvonen, Theodore Armand Camus
  • Patent number: 7068815
    Abstract: A vision system that forms a map of a scene proximate a platform, e.g., a vehicle, that determines the actual ground plane form the map, and that corrects the map for differences between the actual ground plane and an assumed ground plane. The vision system may remove the actual ground plane from the map to prevent false positives. The vision system can further identify and classify objects and, if appropriate, take evasive action.
    Type: Grant
    Filed: March 31, 2004
    Date of Patent: June 27, 2006
    Assignee: Sarnoff Corporation
    Inventors: Peng Chang, David Hirvonen, Theodore Armand Camus
  • Patent number: 6956469
    Abstract: A vehicle vision system that identifies pedestrians located proximate a vehicle. The system comprises a sensor array that produces imagery that is processed to generate disparity images. A depth map can be produced from the disparity images. Either the depth map or the disparity images are processed and compared to pedestrian templates. A pedestrian list is produced from the results of that comparison. The pedestrian list is processed to eliminate false pedestrians as determined by inverse eccentricity. The pedestrians are then tracked, and if a collision is possible, that information is provided to the driver and/or to an automated collision avoidance or damage or injury mitigation system.
    Type: Grant
    Filed: April 7, 2004
    Date of Patent: October 18, 2005
    Assignees: Sarnoff Corporation, Ford Motor Company
    Inventors: David Hirvonen, Theodore Armand Camus
  • Publication number: 20040258279
    Abstract: A vehicle vision system that identifies pedestrians located proximate a vehicle. The system comprises a sensor array that produces imagery that is processed to generate disparity images. A depth map can be produced from the disparity images. Either the depth map or the disparity images are processed and compared to pedestrian templates. A pedestrian list is produced from the results of that comparison. The pedestrian list is processed to eliminate false pedestrians as determined by inverse eccentricity. The pedestrians are then tracked, and if a collision is possible, that information is provided to the driver and/or to an automated collision avoidance or damage or injury mitigation system.
    Type: Application
    Filed: April 7, 2004
    Publication date: December 23, 2004
    Applicants: Sarnoff Corporation, Ford Motor Company
    Inventors: David Hirvonen, Theodore Armand Camus