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:
Oct. 26, 2021

Filed:

Jul. 31, 2018
Applicants:

Equos Research Co., Ltd., Tokyo, JP;

Kyushu Institute of Technology, Kitakyushu, JP;

Inventors:

Hideo Yamada, Tokyo, JP;

Ryuya Muramatsu, Tokyo, JP;

Masatoshi Shibata, Tokyo, JP;

Shuichi Enokida, Iizuka, JP;

Assignees:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06K 9/00 (2006.01); G06K 9/62 (2006.01); G06K 9/78 (2006.01);
U.S. Cl.
CPC ...
G06K 9/00335 (2013.01); G06K 9/00369 (2013.01); G06K 9/00791 (2013.01); G06K 9/6256 (2013.01); G06K 9/78 (2013.01);
Abstract

An image recognition device executes a Hilbert scan of frame image data constituting moving-image data to generate one-dimensional spatial image data, and further arrays the one-dimensional spatial image data in a time direction to generate two-dimensional spatio-temporal image data that holds spatial information and temporal information. The image recognition device converts the moving-image data into the two-dimensional spatio-temporal image data while holding the spatial and temporal information. By means of a CNN unit, the image recognition device executes a convolution process wherein a two-dimensional filter is used on the spatio-temporal image data to image-recognize a behavior of a pedestrian who is a recognition object. The image recognition device executes behavioral recognition of the pedestrian that requires a three-dimensional analysis consisting of two dimensions for space and one dimension for time by the image recognition process of the two-dimensional image by the CNN, and estimates a state of the pedestrian.


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