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:
Jan. 07, 2020

Filed:

Feb. 04, 2018
Applicant:

Applied Research, Llc, Rockville, MD (US);

Inventor:

Chiman Kwan, Rockville, MD (US);

Assignee:

Other;

Attorneys:
Primary Examiner:
Int. Cl.
CPC ...
G06T 7/262 (2017.01); G06K 9/62 (2006.01); H04N 5/14 (2006.01); G06K 9/42 (2006.01); G06T 7/246 (2017.01); H04N 19/132 (2014.01); G06K 9/32 (2006.01);
U.S. Cl.
CPC ...
G06T 7/262 (2017.01); G06K 9/32 (2013.01); G06K 9/42 (2013.01); G06K 9/6277 (2013.01); G06T 7/251 (2017.01); H04N 5/144 (2013.01); H04N 19/132 (2014.11); G06T 2207/10016 (2013.01); G06T 2207/20056 (2013.01); G06T 2207/20076 (2013.01);
Abstract

The present invention is to provide a method and system using compressed data directly for target tracking and target classification in videos. The present invention uses a video imager to generate compressive measurements, and a random subsampling operator to compress the video data. It uses a Gaussian Mixture Model (GMM) for target detection and manual location of the target and putting a bounding box around the targets in the first frame is not required. It further applies a saliency-based algorithm to re-center the captured target. This re-centering process can be repeated multiple times and each application of re-centering will improve over the previous one. A pixel completion algorithm is used to fill in the missing pixels for the captured target area. A Sparse Representation Classification (SRC) for target classification. Both the target templates in a dictionary and captured targets are transformed to the frequency domain using Fast Fourier Transform (FFT).


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