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:
Oct. 19, 2010

Filed:

Feb. 03, 2009
Applicants:

Yiqing Liang, Vienna, VA (US);

Vikrant Kobla, Ashburn, VA (US);

Xuesheng Bai, Ashburn, VA (US);

Yi Zhang, Baltimore, MD (US);

Linda S Crnic, Denver, CO (US);

Stan L. Wilks, Legal Representative, Denver, CO (US);

Wayne Wolf, Atlanta, GA (US);

Inventors:

Yiqing Liang, Vienna, VA (US);

Vikrant Kobla, Ashburn, VA (US);

Xuesheng Bai, Ashburn, VA (US);

Yi Zhang, Baltimore, MD (US);

Linda S Crnic, Denver, CO (US);

Stan L. Wilks, legal representative, Denver, CO (US);

Wayne Wolf, Atlanta, GA (US);

Assignee:

Clever Sys, Inc., Reston, VA (US);

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06K 9/00 (2006.01); G06K 9/34 (2006.01); G06K 9/48 (2006.01); G06K 9/36 (2006.01); G06K 9/40 (2006.01); A61K 49/00 (2006.01); H04N 1/46 (2006.01);
U.S. Cl.
CPC ...
Abstract

In general, the present invention is directed to systems and methods for finding the position and shape of an animal using video. The invention includes a system with a video camera coupled to a computer in which the computer is configured to automatically provide animal segmentation and identification, animal motion tracking (for moving animals), animal feature points and segments identification, and behavior identification. In a preferred embodiment, the present invention may use background subtraction for animal identification and tracking, and a combination of decision tree classification and rule-based classification for feature points and segments and behavior identification. Thus, the present invention is capable of automatically monitoring a video image to identify, track and classify the actions of various animals and the animal's movements within the image. The image may be provided in real time or from storage. The invention is particularly useful for monitoring and classifying animal behavior for testing drugs and genetic mutations, but may be used in any of a number of other surveillance applications.


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