Patent · US Active

Real-time object recognition using cascaded features, deep learning and multi-target tracking

US11055872B1 · kind B1 · utility

8Cited by

5References

20Claims

0Family size

Assignee

HRL Laboratories, LLC · US

Inventors

Yang Chen · Westlake Village, US
Deepak Khosla · Camarillo, US
Ryan M. Uhlenbrock · Calabasas, US

Key dates

Filing date	Jan 30, 2018
Grant date	Jul 6, 2021
Priority date	—
Expiry date	Jul 6, 2038

Classification

Technology area (CPC G)Physics
CPC primaryG06T2207/20081
WIPO fieldComputer technology
WIPO sectorElectrical engineering

Abstract

Described is a system for real-time object recognition. The system extracts a candidate target region representing a candidate object from an input image of a scene based on agglomeration of channel features. The candidate target region is classified using a trained convolutional neural network (CNN) classifier, resulting in an initial classified object. A multi-target tracker is used for tracking the classified objects for final classification of each classified object, resulting in a final output, and a device is controlled based on the final output.

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