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:
Sep. 26, 2017

Filed:

Dec. 15, 2015
Applicant:

National Chung Shan Institute of Science and Technology, Taoyuan, TW;

Inventors:

Shih-Shinh Huang, Kaohsiung, TW;

Shih-Che Chien, Hsinchu, TW;

Feng-Chia Chang, Kaohsiung, TW;

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06K 9/00 (2006.01); G06T 7/00 (2017.01); G06K 9/62 (2006.01);
U.S. Cl.
CPC ...
G06K 9/00785 (2013.01); G06K 9/00825 (2013.01); G06K 9/6215 (2013.01); G06T 7/0044 (2013.01); G06T 7/0081 (2013.01); G06T 7/0083 (2013.01); G06T 2207/10048 (2013.01); G06T 2207/20076 (2013.01); G06T 2207/20144 (2013.01); G06T 2207/30236 (2013.01); G06T 2207/30252 (2013.01);
Abstract

A vehicle detection method includes (1) vehicle likelihood region identifying step; (2) vehicle component locating step; and (3) vehicle detecting step. To reduce complexity of calculation and enhance accuracy of detection, the method uses a vehicle likelihood region identifying algorithm to eliminate background regions from a total thermal image and keep vehicle likelihood regions therein for use in further analysis and processing, detects obvious vehicle components, such as vehicle windows and vehicle bottoms, in the thermal image to thereby identify vehicle component likelihood regions, describes a space geometric relationship of vehicle components with a Markov random field model, defines vehicle detection as problems with maximum a posteriori probability, estimates the most likely configuration with an optimization algorithm, so as to effectuate vehicle detection.


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