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. 23, 2019

Filed:

Apr. 12, 2017
Applicants:

Sungjin Lee, Gwangmyeong-si, KR;

Taewoo Kim, Seoul, KR;

Inventors:

Sungjin Lee, Gwangmyeong-si, KR;

Taewoo Kim, Seoul, KR;

Assignee:

INNODEP CO., LTD., Seoul, KR;

Attorneys:
Primary Examiner:
Int. Cl.
CPC ...
H04N 7/00 (2011.01); H04N 7/18 (2006.01); G06T 7/194 (2017.01); G06K 9/00 (2006.01);
U.S. Cl.
CPC ...
H04N 7/181 (2013.01); G06K 9/00771 (2013.01); G06T 7/194 (2017.01); H04N 7/188 (2013.01); G06K 2209/27 (2013.01); G06T 2207/10016 (2013.01); G06T 2207/30232 (2013.01);
Abstract

The invention provides a method of detecting critical objects out of video produced in CCTV cameras. More specifically, the invention provides a method of detecting critical objects out of CCTV video, in which lightweight algorithms of foreground segmentation and blob analysis are applied to the CCTV video in order to detect moving objects and then object filtering is performed based on distribution characteristics of metadata in order to propose critical objects contained in the CCTV video, whereby a few staff members in the integrated control center may efficiently monitor display screen of a large number of CCTV cameras. The invention makes it possible to detect critical objects out of CCTV video with utilizing lightweight algorithms, which enables real-time processing by video analysis servers of normal computing power. Therefore, the efficiency of integrated control centers may be improved where massive CCTV videos are gathered from a large number of CCTV cameras.


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