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. 21, 2026

Filed:

Nov. 13, 2020
Applicant:

Zhejiang University, Hangzhou, CN;

Inventors:

Zaixing He, Hangzhou, CN;

Xinyue Zhao, Hangzhou, CN;

Guangli Wang, Hangzhou, CN;

Assignee:

ZHEJIANG UNIVERSITY, Hangzhou, CN;

Attorneys:
Primary Examiner:
Int. Cl.
CPC ...
G06T 7/246 (2017.01); G06V 10/762 (2022.01); G06V 10/764 (2022.01);
U.S. Cl.
CPC ...
G06T 7/246 (2017.01); G06V 10/762 (2022.01); G06V 10/764 (2022.01); G06T 2207/10016 (2013.01); G06T 2207/20081 (2013.01);
Abstract

The invention discloses a method for video moving object detection based on the statistical characteristics of image pixels. It can better adapt to changes in environmental lighting, and meanwhile have a better tolerance for dynamic backgrounds in the environment. The present invention first classifies pixels according to the different brightness change trends shown by the reflective characteristics of objects in the image, and then establishes reference points in each category according to the characteristics of each pixel point, and finally for dynamic background points in complex situations etc., based on the characteristics of its brightness value switching back and forth between different objects, using the idea of the Gaussian mixture model to analyze the change category to which the points belong. The invention does not need to update the model in real time, with rapid detection, and good adaptability to complex scenes.


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