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. 06, 2021

Filed:

Jul. 06, 2018
Applicant:

Mitsubishi Electric Research Laboratories, Inc., Cambridge, MA (US);

Inventor:

Michael Jones, Belmont, MA (US);

Attorneys:
Primary Examiner:
Int. Cl.
CPC ...
G06K 9/00 (2006.01); G06K 9/62 (2006.01); G06K 9/46 (2006.01); G06K 9/40 (2006.01); G06T 5/00 (2006.01); G06T 7/00 (2017.01);
U.S. Cl.
CPC ...
G06T 5/003 (2013.01); G06T 7/0002 (2013.01); G06T 2207/10016 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/20201 (2013.01);
Abstract

A system for video anomaly detection partitions the input video into a set of input spatio-temporal regions according to parameters of the spatio-temporal regions of the training video indicative of a number of regions in each video frame defining a spatial dimension of each of the spatio-temporal regions and a number of video frames defining a temporal dimension of each of the spatio-temporal regions, and determines blurred, thresholded difference images for each of the input spatio-temporal regions to produce a set of blurred, thresholded difference images. Next, the system extracts a feature vector from each set of blurred, thresholded difference images to produce a set of input feature vectors, computes a smallest distance between each input feature vector and the training feature vectors corresponding to the same spatial region in the scene to produce a set of distances, and compares each distance from the set of distances with an anomaly detection threshold to detect anomalies in the input video of the scene.


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