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. 02, 2018

Filed:

Sep. 04, 2015
Applicant:

Beijing University of Posts and Telecommunications, Beijing, CN;

Inventors:

Huadong Ma, Beijing, CN;

Huiyuan Fu, Beijing, CN;

Zheng Zhang, Beijing, CN;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G01W 1/00 (2006.01); G06K 9/00 (2006.01); G06K 9/46 (2006.01); G06K 9/62 (2006.01);
U.S. Cl.
CPC ...
G01W 1/00 (2013.01); G06K 9/00664 (2013.01); G06K 9/4642 (2013.01); G06K 9/6269 (2013.01);
Abstract

The invention relates to a weather recognition method and device based on image information detection, including: obtaining an image extracting multiple first image features of the image with respect to each preset type of weather using a number of first preset algorithms preset correspondingly for different preset types of weather; inputting the multiple first image features to a preset multi-kernel classifier, the multi-kernel classifier performing classification according to the image features to identify the weather in which the image was taken. The multi-kernel classifier is realized by: selecting a first preset number of image samples for each of the preset types of weather; for the image samples of this type of weather, extracting the first image features of each image sample according to the first preset algorithm corresponding to this preset type of weather; and performing machine learning for the first image features according to a preset multi-kernel learning algorithm.


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