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:
Mar. 15, 2016

Filed:

Jan. 23, 2014
Applicants:

Hanwha Techwin Co.,ltd., Changwon-Si, KR;

Seoul National University Industry Foundation, Seoul, KR;

Inventors:

Young Joon Yoo, Changwon, KR;

Ha Wook Jeong, Changwon, KR;

Kwang Moo Yi, Changwon, KR;

Jin Young Choi, Changwon, KR;

Dong Jun Park, Changwon, KR;

Jeong Eun Lim, Changwon, KR;

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06K 9/62 (2006.01); G06T 7/20 (2006.01); G06K 9/00 (2006.01);
U.S. Cl.
CPC ...
G06T 7/2033 (2013.01); G06K 9/00771 (2013.01); G06K 9/00785 (2013.01); G06K 9/6226 (2013.01); G06K 9/6297 (2013.01); G06K 9/62 (2013.01); G06T 2207/10016 (2013.01); G06T 2207/20076 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/30241 (2013.01);
Abstract

Provided are a method and apparatus for detecting an abnormal movement. The apparatus includes a feature tracing unit configured to extract features of a moving object in an input image, trace a variation in position of the extracted features according to time, and ascertain trajectories of the extracted features; a topic online learning unit configured to classify the input image in units of documents which are bundles of the trajectories, and ascertain probability distribution states of topics, which constitute the classified document, by using an online learning method which is a probabilistic topic model; and a movement pattern online learning unit configured to learn a velocity and a direction for each of the ascertained topics, and learn a movement pattern by inferring a spatiotemporal correlation between the ascertained topics.


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