Efficient Machine-Readable Object Detection and Tracking

Patent №

US 9,542,585

Granted

2017-01-10

Filed 2013

Owner

APPLE INC.

Lab

AI components

2

vision · hardware

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

13911983

A method to improve the efficiency of the detection and tracking of machine-readable objects is disclosed. The properties of image frames may be pre-evaluated to determine whether a machine-readable object, even if present in the image frames, would be likely to be detected. After it is determined that one or more image frames have properties that may enable the detection of a machine-readable object, image data may be evaluated to detect the machine-readable object. When a machine-readable object is detected, the location of the machine-readable object in a subsequent frame may be determined based on a translation metric between the image frame in which the object was identified and the subsequent frame rather than a detection of the object in the subsequent frame. The translation metric may be identified based on an evaluation of image data and/or motion sensor data associated with the image frames.

VisionAI hardwareG06K 7/1443G06K 7/10722G06V 10/25G06V 10/7515G06T 7/20G06V 10/62G06V 2201/07

AI classification

Vision1.00
AI hardware1.00
Natural language0.18
Evolutionary computation0.02
Planning0.01
Knowledge representation0.00
Machine learning0.00
Speech0.00

Ownership

APPLE INC.

assignment · 307960974

Assignors

WILLIAMS, GEORGE, OLSON, BENJAMIN, BEYSSERIE, SEBASTIEN, TIRA-THOMPSON, ETHAN, ZULIANI, MARCO, MOLGAARD, CLAUS, SACHS, TODD, VAN DER MERWE, RUDOLPH, ZHOU, JIANPING

On an employer assignment, the assignors are typically the inventors.

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