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. 12, 2022

Filed:

Apr. 13, 2020
Applicant:

Shanghai Seari Intelligent System Co., Ltd., Shanghai, CN;

Inventors:

Chaoteng Wu, Shanghai, CN;

Lu Zhang, Shanghai, CN;

Xiao Gao, Shanghai, CN;

Yu Zhou, Shanghai, CN;

Wei Zhao, Shanghai, CN;

Xuechen Yang, Shanghai, CN;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06N 7/00 (2006.01); G08G 1/01 (2006.01);
U.S. Cl.
CPC ...
G06N 7/005 (2013.01); G08G 1/0125 (2013.01);
Abstract

A method for recognizing multi-dimensional anomalous urban traffic events based on a ternary Gaussian mixture model includes: reading a data sample of urban road traffic events; randomly dividing the data sample into a first subsample and a second subsample; performing modeling based on the first subsample by using the ternary Gaussian mixture model to obtain a second ternary Gaussian mixture model to calculate a distribution probability p of any sample point; clustering the second subsample, recognizing an outlier in the second subsample, and labeling the outlier and a normal point to obtain a labeled subsample; calculating the labeled subsample to obtain the distribution probability p corresponding to each sample point in the labeled subsample; when a new traffic event occurs, obtaining features of three dimensions of the new traffic event, calculating a distribution probability p by using the second model, and recognizing the new traffic event as anomalous if p<t-score.


Find Patent Forward Citations

Loading…