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:
Apr. 17, 2018

Filed:

Jun. 25, 2014
Applicant:

University of Central Florida Research Foundation, Inc., Orlando, FL (US);

Inventors:

Haroon Idrees, Oviedo, FL (US);

Imran Saleemi, Orlando, FL (US);

Mubarak Shah, Winter Park, FL (US);

Attorneys:
Primary Examiner:
Int. Cl.
CPC ...
G06K 9/00 (2006.01); G06K 9/46 (2006.01); G06T 7/73 (2017.01);
U.S. Cl.
CPC ...
G06K 9/4638 (2013.01); G06T 7/74 (2017.01); G06T 2207/30242 (2013.01);
Abstract

A method for counting individuals in an image containing a dense, uniform or non-uniform crowd. The current invention leverages multiple sources of information to compute an estimate of the number of individuals present in a dense crowd visible in a single image. This approach relies on multiple sources, such as low confidence head detections, repetition of texture elements (using SIFT), and frequency-domain analysis to estimate counts, along with confidence associated with observing individuals in an image region. Additionally, a global consistency constraint can be employed on counts using Markov Random Field. This caters for disparity in counts in local neighborhoods and across scales. The methodology was tested on a new dataset of fifty (50) crowd images containing over 64,000 annotated humans, with the head counts ranging from 94 to 4,543. Efficient and accurate results were attained.


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