Patent · US Active

Detection of objects in an image using self similarities

US9569694B2 · kind B2 · utility

2Cited by

2References

11Claims

0Family size

Assignees

TOYOTA MOTOR EUROPE NV/SA · BE
Technische Universität Darmstadt · DE

Inventors

Gabriel Othmezouri · Brussels, BE
Ichiro Sakata · Miyoshi, JP
Bernt Schiele · Darmstadt, DE
Stefan Walk · Wien, AT
Nikodem Majer · Reinheim, DE
Konrad Schindler · Darmstadt, DE

Key dates

Filing date	Jan 6, 2016
Grant date	Feb 14, 2017
Priority date	—
Expiry date	Jan 6, 2036

Classification

Technology area (CPC G)Physics
CPC primaryG06T2207/20021
WIPO fieldComputer technology
WIPO sectorElectrical engineering

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.

Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.