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:
Apr. 30, 2019

Filed:

May. 29, 2015
Applicant:

Hitachi Kokusai Electric Inc., Tokyo, JP;

Inventors:

Hirofumi Emi, Tokyo, JP;

Tomohiro Aikawa, Tokyo, JP;

Masaru Fujii, Tokyo, JP;

Naoki Saotome, Tokyo, JP;

Kei Takahashi, Tokyo, JP;

Shigeyuki Murata, Tokyo, JP;

Atsushi Honda, Tokyo, JP;

Assignee:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
H04N 5/232 (2006.01); H04N 5/225 (2006.01); H04N 7/18 (2006.01); H04N 17/00 (2006.01); H04N 21/21 (2011.01); H04N 21/23 (2011.01); H04N 19/15 (2014.01); H04N 21/44 (2011.01); G08B 13/196 (2006.01); G08B 29/00 (2006.01); G08B 25/00 (2006.01); H04N 19/154 (2014.01); H04N 21/218 (2011.01); H04N 21/234 (2011.01);
U.S. Cl.
CPC ...
H04N 5/23222 (2013.01); G08B 13/1961 (2013.01); G08B 13/19604 (2013.01); G08B 25/00 (2013.01); G08B 29/00 (2013.01); H04N 5/225 (2013.01); H04N 5/2256 (2013.01); H04N 7/18 (2013.01); H04N 7/181 (2013.01); H04N 17/002 (2013.01); H04N 19/154 (2014.11); H04N 21/218 (2013.01); H04N 21/21805 (2013.01); H04N 21/23418 (2013.01); H04N 21/44008 (2013.01); G06T 2207/20172 (2013.01);
Abstract

In a monitoring system, each individual camera device divides image data acquired by an image sensor unit into a plurality of areas, and detects video-image abnormality from an average luminance signal value in each area or from a change thereof. The camera device that has detected video abnormality transmits video-image abnormality detection information to a server. In the plurality of areas, it is possible to use different detection algorithms such as a first algorithm in which it is determined that an abnormality has occurred when there is no change in the average luminance value, a second algorithm in which it is determined that an abnormality has occurred when there is a change in the average luminance value, and a third algorithm for observing a change in the video captured while a change is made to an aperture, exposure time, or the like.


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