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:
Jun. 09, 2020

Filed:

Mar. 28, 2018
Applicant:

Peking University Shenzhen Graduate School, Shenzhen, CN;

Inventors:

Ge Li, Shenzhen, CN;

Jingjia Huang, Shenzhen, CN;

Nannan Li, Shenzhen, CN;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06K 9/00 (2006.01); G06K 9/62 (2006.01); G06T 7/215 (2017.01); G06T 7/246 (2017.01);
U.S. Cl.
CPC ...
G06K 9/00744 (2013.01); G06K 9/6215 (2013.01); G06K 9/6297 (2013.01); G06T 7/215 (2017.01); G06T 7/246 (2017.01); G06K 2009/00738 (2013.01); G06T 2207/10016 (2013.01); G06T 2207/30232 (2013.01); G06T 2207/30241 (2013.01);
Abstract

Provided is a method for detecting a violent incident in a video based on a hypergraph transition model, comprising a procedure of extracting a foreground target track, a procedure of establishing a hypergraph and a similarity measure, and a procedure of constructing a hypergraph transition descriptor; using the hypergraph to describe a spatial relationship of feature points, in order to reflect attitude information about a movement; and modelling the transition of correlative hypergraphs in a time sequence and extracting a feature descriptor HVC, wherein same can effectively reflect the intensity and stability of the movement. The method firstly analyses the spatial relationship of the feature points and a transition condition of a feature point group, and then performs conjoint analysis on same. The method of the present invention is sensitive to disorderly and irregular behaviours in a video, wherein same is applicable to the detection of violent incidents.


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