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. 13, 2017

Filed:

Dec. 29, 2011
Applicants:

Lei Wang, Clovis, CA (US);

Hongwei Zhu, Fresno, CA (US);

Farzin Aghdasi, Clovis, CA (US);

Greg Millar, Coarsegold, CA (US);

Inventors:

Lei Wang, Clovis, CA (US);

Hongwei Zhu, Fresno, CA (US);

Farzin Aghdasi, Clovis, CA (US);

Greg Millar, Coarsegold, CA (US);

Assignee:

PELCO, INC, Clovis, CA (US);

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
H04N 19/00 (2014.01); H04N 19/17 (2014.01); H04N 19/23 (2014.01); H04N 19/107 (2014.01); H04N 19/174 (2014.01); G06K 9/00 (2006.01); H04N 7/18 (2006.01); H04N 5/225 (2006.01); G06T 7/11 (2017.01); G06T 7/254 (2017.01); G06T 7/194 (2017.01);
U.S. Cl.
CPC ...
H04N 19/00 (2013.01); G06T 7/11 (2017.01); G06T 7/194 (2017.01); G06T 7/254 (2017.01); H04N 19/107 (2014.11); H04N 19/17 (2014.11); H04N 19/174 (2014.11); H04N 19/23 (2014.11); G06T 2207/20021 (2013.01); G06T 2207/20081 (2013.01);
Abstract

A method of video coding includes receiving a video image having a plurality of pixels, selecting a plurality of Gaussian models for each pixel, classifying each pixel as a background or foreground pixel, determining if an object is always moving locally by detecting if an object is always moving within a predetermined distance and changing the direction of moving frequently for a second predetermined period of time, removing an object from classification as an object and ignoring motion of the object if the object is always moving locally, marking the area that the object moves within as a noisy area on a noise mask buffer, updating background models based on motion detection and noise filtering, updating current and evolving background images, and coding the current background image, background update blocks and objects for transmission.


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