17932313. OBJECT DETECTION USING REFLECTIVE SURFACES simplified abstract (Ford Global Technologies, LLC)

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OBJECT DETECTION USING REFLECTIVE SURFACES

Organization Name

Ford Global Technologies, LLC

Inventor(s)

Marcos Paul Gerardo Castro of San Francisco CA (US)

Aniruddh Ravindran of Mountain View CA (US)

Mishel Johns of Palo Alto CA (US)

OBJECT DETECTION USING REFLECTIVE SURFACES - A simplified explanation of the abstract

This abstract first appeared for US patent application 17932313 titled 'OBJECT DETECTION USING REFLECTIVE SURFACES

Simplified Explanation

The patent application describes a method for tracking an object included in a reflective surface by detecting the reflective surface in images and determining its location in pixel coordinates.

  • The innovation involves determining the location of a reflective surface in images and tracking it across multiple images.
  • Real world locations of the object can be determined based on attributes of the reflective surface, such as geometric class, extrinsic properties, intrinsic properties, and sensor calibration properties.

Potential Applications

This technology could be applied in various fields such as:

  • Augmented reality
  • Object tracking in video surveillance
  • Robotics for object detection and tracking

Problems Solved

This technology addresses the following issues:

  • Tracking objects in reflective surfaces
  • Determining real world locations of objects based on reflective surfaces

Benefits

The benefits of this technology include:

  • Improved accuracy in object tracking
  • Enhanced capabilities in augmented reality applications
  • Efficient object detection in various environments

Potential Commercial Applications

The technology could be commercially applied in:

  • Security systems
  • Virtual reality applications
  • Industrial automation processes

Possible Prior Art

One possible prior art could be the use of computer vision techniques for object tracking in images and videos.


Original Abstract Submitted

Tracking an object included in a reflective surface by detecting the reflective surface included in one or more images included in a plurality of images by determining a location of the reflective surface in pixel coordinates and tracking the location of the reflective surface in the plurality of images. Real world locations of the object can be determined based on attributes of the reflective surface including a geometric class, extrinsic properties that relate the reflective surface to an environment, intrinsic properties describing the reflective surface without referring to the environment and calibration properties of the sensor.