Title: Object detection and tracking system

Abstract

Methods and apparatuses for analyzing a sequence of images for an object are disclosed herein. In a general embodiment, the method identifies a region of interest in the sequence of images. The object is likely to move within the region of interest. The method divides the region of interest in the sequence of images into sections and calculates signal-to-noise ratios for a section in the sections. A signal-to-noise ratio for the section is calculated using the section in the image, a prior section in a prior image to the image, and a subsequent section in a subsequent image to the image. The signal-to-noise ratios are for potential velocities of the object in the section. The method also selects a velocity from the potential velocities for the object in the section using a potential velocity in the potential velocities having a highest signal-to-noise ratio in the signal-to-noise ratios.

Inventors:

Ma, Tian J.

Issue Date:

2017-05-30

Research Org.:

Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)

Sponsoring Org.:

USDOE

OSTI Identifier:

1360773

Patent Number(s):

9665942

Application Number:

14/662,705

Assignee:

Sandia Corporation

Patent Classifications (CPCs):

G - PHYSICS G06 - COMPUTING G06T - IMAGE DATA PROCESSING OR GENERATION, IN GENERAL

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G - PHYSICS G06 - COMPUTING G06T - IMAGE DATA PROCESSING OR GENERATION, IN GENERAL

G06T2207/10016 - Video
G06T2207/20076 - Probabilistic image processing
G06T5/002 - {Denoising
G06T7/0004 - {Industrial image inspection}
G06T7/248 - {involving reference images or patches}
G06T7/277 - involving stochastic approaches, e.g. using Kalman filters

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DOE Contract Number:  

AC04-94AL85000

Resource Type:

Patent

Resource Relation:

Patent File Date: 2015 Mar 19

Country of Publication:

United States

Language:

English

Subject:

47 OTHER INSTRUMENTATION