Patents by Inventor Bernt Schiele

Bernt Schiele 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: 9569694
    Abstract: An image processor (10) has a window selector for choosing a detection window within the image, and a self similarity computation part (40) for determining self-similarity information for a group of the pixels in any part of the detection window, to represent an amount of self-similarity of that group to other groups in any other part of the detector window, and for repeating the determination for groups in all parts of the detection window, to generate a global self similarity descriptor for the detection window. A classifier (50) is used for classifying whether an object is present based on the global self-similarity descriptor. By using global self-similarity rather than local similarities more information is captured which can lead to better classification. In particular, it helps enable recognition of more distant self-similarities inherent in the object, and self-similarities present at any scale.
    Type: Grant
    Filed: January 6, 2016
    Date of Patent: February 14, 2017
    Assignees: TOYOTA MOTOR EUROPE NV/SA, TECHNISCHE UNIVERSITAT DARMSTADT
    Inventors: Gabriel Othmezouri, Ichiro Sakata, Bernt Schiele, Stefan Walk, Nikodem Majer, Konrad Schindler
  • Patent number: 8958600
    Abstract: Methods and apparatus are described for monocular 3D human pose estimation and tracking, which are able to recover poses of people in realistic street conditions captured using a monocular, potentially moving camera. Embodiments of the present invention provide a three-stage process involving estimating (10, 60, 110) a 3D pose of each of the multiple objects using an output of 2D tracking-by detection (50) and 2D viewpoint estimation (46). The present invention provides a sound Bayesian formulation to address the above problems. The present invention can provide articulated 3D tracking in realistic street conditions. The present invention provides methods and apparatus for people detection and 2D pose estimation combined with a dynamic motion prior. The present invention provides not only 2D pose estimation for people in side views, it goes beyond this by estimating poses in 3D from multiple viewpoints. The estimation of poses is done in monocular images, and does not require stereo images.
    Type: Grant
    Filed: June 14, 2011
    Date of Patent: February 17, 2015
    Assignees: Toyota Motor Europe NV/SA, Technische Universitat Darmstadt
    Inventors: Gabriel Othmezouri, Ichiro Sakata, Bernt Schiele, Mykhaylo Andriluka, Stefan Roth
  • Patent number: 8934666
    Abstract: The invention relates to a method and an object detection device for analyzing objects in the environment and/or scenes in the environment. The object detection device includes a data processing and/or evaluation device. In the data processing and/or evaluation device, image data (xt) is evaluated on the basis of a Conditional Random Field (CRF) model and the CRF model provides additional object nodes (otn) which take into account information from an object detector.
    Type: Grant
    Filed: September 30, 2009
    Date of Patent: January 13, 2015
    Assignee: ADC Automotive Distance Control Systems GmbH
    Inventors: Stefan Lüke, Bernt Schiele, Christian Wojek
  • Publication number: 20130142390
    Abstract: Methods and apparatus are described for monocular 3D human pose estimation and tracking, which are able to recover poses of people in realistic street conditions captured using a monocular, potentially moving camera. Embodiments of the present invention provide a three-stage process involving estimating (10, 60, 110) a 3D pose of each of the multiple objects using an output of 2D tracking-by detection (50) and 2D viewpoint estimation (46). The present invention provides a sound Bayesian formulation to address the above problems. The present invention can provide articulated 3D tracking in realistic street conditions. The present invention provides methods and apparatus for people detection and 2D pose estimation combined with a dynamic motion prior. The present invention provides not only 2D pose estimation for people in side views, it goes beyond this by estimating poses in 3D from multiple viewpoints. The estimation of poses is done in monocular images, and does not require stereo images.
    Type: Application
    Filed: June 14, 2011
    Publication date: June 6, 2013
    Applicants: TECHNISCHE UNIVERSITÄT DARMSTADT, TOYOTA MOTOR EUROPE NV/SA
    Inventors: Gabriel Othmezouri, Ichiro Sakata, Bernt Schiele, Mykhaylo Andriluka, Stefan Roth
  • Publication number: 20130058535
    Abstract: An image processor (10) has a window selector for choosing a detection window within the image, and a self similarity computation part (40) for determining self-similarity information for a group of the pixels in any part of the detection window, to represent an amount of self-similarity of that group to other groups in any other part of the detector window, and for repeating the determination for groups in all parts of the detection window, to generate a global self similarity descriptor for the detection window. A classifier (50) is used for classifying whether an object is present based on the global self-similarity descriptor. By using global self-similarity rather than local similarities more information is captured which can lead to better classification. In particular, it helps enable recognition of more distant self-similarities inherent in the object, and self-similarities present at any scale.
    Type: Application
    Filed: February 28, 2011
    Publication date: March 7, 2013
    Applicants: TECHNISCHE UNIVERSITAT DARMSTADT, TOYOTA MOTOR EUROPE NV/SA
    Inventors: Gabriel Othmezouri, Ichiro Sakata, Bernt Schiele, Stefan Walk, Nikodem Majer, Konrad Schindler
  • Publication number: 20110313665
    Abstract: The invention relates to a method for automatically detecting a driving maneuver of a motor vehicle (A), in particular an overtaking maneuver or an evasive maneuver, in which the surroundings of the vehicle are covered and an electronic image thereof is created, the electronic image is used for the detection of a traffic lane and/or of a road as well as of-objects (B, C) in the surroundings of the vehicle, longitudinal-dynamics and lateral-dynamics movement information ({dot over (?)}, ?y, ?H, ?FL, ?FR, ?RL, ?RR) of motor vehicle (A) is determined, and the position ({circumflex over (X)}) of motor vehicle (A) is odometrically estimated on the basis of the data (bLane, yLane, ?, c0) of lane detection and/or road detection and/or of the movement information ({dot over (?)}, ?y, ?H, ?FL, ?FR, ?RL, ?RR) of motor vehicle (A), wherein the invention provides that a) the following indicator quantities are formed from the estimated position data ({circumflex over (X)}) of motor vehicle (A): a value of the latera
    Type: Application
    Filed: March 4, 2010
    Publication date: December 22, 2011
    Applicants: ADC AUTOMOTIVE DISTANCE CONTROL SYSTEMS GMBH, CONTINENTAL TEVES AG & CO. OHG
    Inventors: Stefan Lueke, Ken Schmitt, Rolf Isermann, Stefan Habenicht, Andree Hohm, Roman Mannale, Christian Wojek, Hermann Winner, Bernt Schiele
  • Publication number: 20110243376
    Abstract: Detection of an object of a specified object category in an image. With the method, it is provided that: (1) at least two detectors are provided which are respectively set up for the purpose of detecting an object of the specified object category with a specified object size, wherein object sizes differ for the detectors, (2) the image is evaluated by the detectors in order to check whether an object of the specified object category is located in the image, and (3) an object of the specified object category is detected in the image when on the basis of the evaluation of the image by at least one of the detectors it is determined that an object of the specified object category is located in the image. A system suitable for implementing the method for detecting an object of a specified object category in an image is also described.
    Type: Application
    Filed: August 4, 2008
    Publication date: October 6, 2011
    Applicant: Continental Teves AG & oHG
    Inventors: Stefan Lüke, Edgar Semann, Bernt Schiele, Christan Wojek
  • Publication number: 20110200230
    Abstract: The invention relates to a method and an object detection device for analysing objects in the environment and/or scenes in the environment. The object detection device includes a data processing and/or evaluation device. In the data processing and/or evaluation device, image data (xt) is evaluated on the basis of a Conditional Random Field (CRF) model and the CRF model provides additional object nodes (otn) which take into account information from an object detector.
    Type: Application
    Filed: September 30, 2009
    Publication date: August 18, 2011
    Applicant: ADC AUTOMOTIVE DISTANCE CONTROL SYSTEMS GMBH
    Inventors: Stefan Lüke, Bernt Schiele, Christian Wojek