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. 29, 2019

Filed:

Aug. 06, 2014
Applicant:

Hrl Laboratories, Llc, Malibu, CA (US);

Inventors:

Matthew S Keegan, Santa Monica, CA (US);

Kang-Yu Ni, Calabasas, CA (US);

Shankar R. Rao, Agoura Hills, CA (US);

Assignee:

HRL Laboratories, LLC, Malibu, CA (US);

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06T 7/194 (2017.01); H04N 5/232 (2006.01); H04N 7/18 (2006.01); G06K 9/32 (2006.01); G06T 7/00 (2017.01); G06K 9/00 (2006.01);
U.S. Cl.
CPC ...
H04N 5/23241 (2013.01); G06K 9/00771 (2013.01); G06K 9/3241 (2013.01); G06T 7/0081 (2013.01); G06T 7/194 (2017.01); H04N 7/183 (2013.01); G06T 2207/10016 (2013.01); G06T 2207/20144 (2013.01); G06T 2207/30232 (2013.01);
Abstract

A system and method for low power surveillance. The system receives a series of frames from a camera, each frame having a background and a foreground. A background template is generated. Thereafter, the system receives a new image frame of the scene, the new image frame having a background and a foreground. Potential regions of interest (ROI) are detected in the new image frame. Initial region descriptors are determined in the potential ROI in the foreground. The initial region descriptors are segmented to generate a segmented region. Region descriptors are re-determined from the segmented region. A contiguous sparse foreground is determined from the re-determined region descriptors, the contiguous sparse foreground being a contiguous ROI. The ROI is reconstructed using foveated compressive sensing to generate an image of an interesting object. Finally, the interesting object image is combined with the background template to reconstruct the foreground.


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