Vikrant Neelakantan Kobla

US Patent:

7068842, Jun 27, 2006

Filed:

Sep 19, 2003

Appl. No.:

10/666741

Inventors:

Yiqing Liang - Vienna VA, US
Linda Crnic - Denver CO, US
Vikrant Kobla - Ashburn VA, US
Wayne Wolf - Princeton NJ, US

Assignee:

CleverSys, Inc. - Reston VA

International Classification:

G06K 9/00

US Classification:

382181, 382103, 348143

Abstract:

In general, the present invention is directed to systems and methods for finding the position and shape of an object using video. The invention includes a system with a video camera coupled to a computer in which the computer is configured to automatically provide object segmentation and identification, object motion tracking (for moving objects), object position classification, and behavior identification. In a preferred embodiment, the present invention may use background subtraction for object identification and tracking, probabilistic approach with expectation-maximization for tracking the motion detection and object classification, and decision tree classification for behavior identification. Thus, the present invention is capable of automatically monitoring a video image to identify, track and classify the actions of various objects and the object's movements within the image. The image may be provided in real time or from storage.

US Patent:

7209588, Apr 24, 2007

Filed:

Oct 30, 2003

Appl. No.:

10/698044

Inventors:

Yiqing Liang - Vienna VA, US
Vikrant Kobla - Ashburn VA, US
Xuesheng Bai - Reston VA, US
Yi Zhang - Fairfax VA, US

Assignee:

Clever Sys, Inc. - Reston VA

International Classification:

G06K 9/00

US Classification:

382181, 382103, 119421

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-posture classification, 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 posture 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.

US Patent:

7643655, Jan 5, 2010

Filed:

Jan 11, 2006

Appl. No.:

11/329573

Inventors:

Yiqing Liang - Vienna VA, US
Vikrant Kobla - Ashburn VA, US
Xuesheng Bai - Fairfax VA, US

Assignee:

Clever Sys, Inc. - Reston VA

International Classification:

G06K 9/00
A01K 1/03

US Classification:

382110, 382224, 119421

Abstract:

A system and method for analyzing video images including images of an animal to detect and classify seizure behavior of the animal. Seizure-salient features are detected from identified postures and identified movements of body parts of the animal. The seizure-salient features are used to detect and classify the occurrences of seizures.

US Patent:

7817824, Oct 19, 2010

Filed:

Feb 3, 2009

Appl. No.:

12/365149

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
Wayne Wolf - Atlanta GA, US

Assignee:

Clever Sys, Inc. - Reston VA

International Classification:

G06K 9/00
G06K 9/34
G06K 9/48
G06K 9/36
G06K 9/40
A61K 49/00
H04N 1/46

US Classification:

382110, 382173, 382199, 382266, 382291, 358538, 424 91

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.

US Patent:

8514236, Aug 20, 2013

Filed:

Sep 30, 2004

Appl. No.:

10/955661

Inventors:

Vikrant Kobla - Ashburn VA, US
Yiqing Liang - Vienna VA, US
Feng-Feng Wang - Potomac MD, US
Yi Zhang - Fairfax VA, US

Assignee:

Cleversys, Inc. - Reston VA

International Classification:

G09G 5/36

US Classification:

345547

Abstract:

In general, the present invention is directed to systems and methods for finding the gait parameters 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, foot identification, foot tracking, and gait parameter calculation. In a preferred embodiment, the present invention may use a treadmill apparatus with a transparent tread or belt for gait parameter calculation. A camera may be placed directly underneath the transparent tread such that the bottom view of the animal walking or running on the transparent tread is captured by the camera. A tilted mirror may also be placed directly underneath the transparent tread in order to reflect the bottom view images to the side where they are captured by a high-speed camera. Thus, the present invention is capable of automatically monitoring a video image to identify, track and classify the actions of various animals' feet within the image. The image may be provided in real time or from storage.

US Patent:

8634635, Jan 21, 2014

Filed:

Oct 30, 2008

Appl. No.:

12/261691

Inventors:

Xuesheng Bai - Ashburn VA, US
Vikrant N. Kobla - Ashburn VA, US
FaYin Li - Fairfax VA, US
Dongliang Liu - Rockville MD, US
Yiqing Liang - Vienna VA, US

Assignee:

Clever Sys, Inc. - Reston VA

International Classification:

G06K 9/00

US Classification:

382154

Abstract:

In general, the present invention is directed to systems and methods for identifying behaviors of two or more animal using video. The invention includes a system with at least two video cameras coupled to a computer where the computer is configured to automatically perform animal segmentation and identification, animal body parts identification, and behavior identification.

US Patent:

20040141635, Jul 22, 2004

Filed:

Oct 30, 2003

Appl. No.:

10/698008

Inventors:

Yiqing Liang - Vienna VA, US
Xuesheng Bai - Reston VA, US
Vikrant Kobla - Ashburn VA, US
Yl Zhang - Fairfax VA, US

International Classification:

G06K009/00

US Classification:

382/110000, 382/181000

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.

US Patent:

20070175406, Aug 2, 2007

Filed:

Apr 6, 2007

Appl. No.:

11/697544

Inventors:

Yiqing Liang - Vienna VA, US
Vikrant Kobla - Ashburn VA, US
Xuesheng Bai - Reston VA, US
Yi Zhang - Fairfax VA, US

Assignee:

CLEVER SYS, INC. - Reston VA

International Classification:

A01K 37/00

US Classification:

119712000

Abstract:

Systems and methods for finding the position and shape of an animal using video are disclosed. 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 posture classification, 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 posture 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.