DETERMINING ROOT CORRESPONDENCE BETWEEN PREVIOUSLY AND NEWLY DETECTED OBJECTS

Patent №

US 8,754,802

Granted

2014-06-17

Filed 2011

Owner

LAWRENCE LIVERMORE NATIONAL SECURITY, LLC

Lab

AI components

1

vision

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

13219512

A system that applies attribute and topology based change detection to networks of objects that were detected on previous scans of a structure, roadway, or area of interest. The attributes capture properties or characteristics of the previously detected objects, such as location, time of detection, size, elongation, orientation, etc. The topology of the network of previously detected objects is maintained in a constellation database that stores attributes of previously detected objects and implicitly captures the geometrical structure of the network. A change detection system detects change by comparing the attributes and topology of new objects detected on the latest scan to the constellation database of previously detected objects.

VisionG01S 13/003G01S 13/885G01S 13/90G01V 3/12G01V 3/15G06N 99/00

AI classification

Vision1.00
Machine learning0.09
Knowledge representation0.05
AI hardware0.02
Natural language0.01
Evolutionary computation0.01
Planning0.00
Speech0.00

Ownership

LAWRENCE LIVERMORE NATIONAL SECURITY, LLC

assignment · 270020935

Assignors

PAGLIERONI, DAVID W., BEER, NEIL REGINALD

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

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