Object detection and tracking

This invention describes a system that uses a camera and a motion sensor to reliably track an object. If the camera temporarily loses sight of the object, the system uses the motion sensor's data to predict the camera's position and orientation. This prediction then helps generate a specific visual guide, like a 3D model view, to quickly re-locate and continue tracking the object.

Why it matters: The method describes a core component of robust augmented reality and robotics systems. Since 2017, mobile computing power, integrated camera/IMU hardware, and advanced computer vision algorithms have dramatically improved, making real-time implementation of such complex sensor fusion and 3D model-based re-acquisition much more practical and performant.

Status: Not in forceListed as no longer active. The specific reason is not in the record we hold.
How hard to build: SpecializedComplex sensor fusion, 3D model rendering, non-linear filters.

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