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:
Jul. 14, 2020

Filed:

Nov. 30, 2016
Applicants:

Korea Institute of Industrial Technology, Cheonan-si, Chungcheongnam-do, KR;

Korea Research Institute of Bioscience and Biotechnology, Daejeon, KR;

Inventors:

Sang Kuy Han, Cheonan-si, KR;

Keyoung Jin Chun, Uiwang-si, KR;

Kyu Tae Chang, Changwon-si, KR;

Young Jeon Lee, Cheongju-si, KR;

Yeung Bae Jin, Cheongju-si, KR;

Kang jin Jeong, Cheongju-si, KR;

Phil Yong Kang, Cheongju-si, KR;

Jung Joo Hong, Cheongju-si, KR;

Sang Rae Lee, Cheongju-si, KR;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06K 9/00 (2006.01); H04N 13/239 (2018.01); H04N 13/271 (2018.01); G06T 7/73 (2017.01); G06T 7/593 (2017.01); H04N 13/204 (2018.01);
U.S. Cl.
CPC ...
G06K 9/00342 (2013.01); G06K 9/00201 (2013.01); G06T 7/593 (2017.01); G06T 7/73 (2017.01); H04N 13/204 (2018.05); H04N 13/239 (2018.05); H04N 13/271 (2018.05); G06T 2200/04 (2013.01); G06T 2207/30196 (2013.01);
Abstract

The present invention includes: a three-dimensional moving image generation module for generating a moving image of an experiment target person; an object extraction module for extracting the experiment target person, separately from a background, from the moving image; an object definition module for defining an object by measuring a length, a size and a weight center of the object and extracting a depth image of the object; a behaviour pattern definition module for defining a basic behaviour pattern of the object by cumulatively analyzing a movement speed and movement time of the weight center of the corresponding object, and changes in the extracted depth data when the object defined by the object definition module is extracted by the object extraction module; and a behaviour pattern analysis module for analyzing and identifying a lasting time and a frequency of the basic behaviour pattern with respect to the object.


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