The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Aug. 31, 2021

Filed:

Nov. 20, 2019
Applicant:

Omron Corporation, Kyoto, JP;

Inventors:

Ryo Yonetani, Tokyo, JP;

Mai Kurose, Tokyo, JP;

Assignee:

Omron Corporation, Kyoto, JP;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06K 9/00 (2006.01); G06T 7/194 (2017.01); G06T 7/20 (2017.01); G06T 7/73 (2017.01);
U.S. Cl.
CPC ...
G06K 9/00369 (2013.01); G06K 9/00711 (2013.01); G06T 7/194 (2017.01); G06T 7/20 (2013.01); G06T 7/75 (2017.01); G06T 2207/10016 (2013.01);
Abstract

A method for modeling crowd movement includes obtaining a temporal sequence of images of a physical venue and, for each of the images, subdividing the respective image into a respective set of logical pixels according to a predetermined mapping. For each logical pixel of each image, the method computes a respective crowd density representing a respective number of mobile objects per unit of area in the physical venue at the logical pixel, thereby forming a temporal sequence of crowd density maps that corresponds to the temporal sequence of images. The method then uses successive pairs of crowd density maps to train a model on spatiotemporal changes in crowd density at the physical venue. A method of predicting future crowd density maps at physical venues using a current image of the physical venue and the trained model is also disclosed.


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