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:
Feb. 11, 2020

Filed:

Jan. 29, 2018
Applicant:

Beijing Sensetime Technology Development Co., Ltd, Beijing, CN;

Inventors:

Xiaogang Wang, Hong Kong, CN;

Lijun Wang, Dalian, CN;

Wanli Ouyang, Shatin, CN;

Huchuan Lu, Dalian, CN;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06K 9/62 (2006.01); G06T 7/246 (2017.01); G06N 3/08 (2006.01); G06N 3/04 (2006.01); G06T 7/73 (2017.01); G06K 9/03 (2006.01); G06K 9/20 (2006.01);
U.S. Cl.
CPC ...
G06K 9/6256 (2013.01); G06K 9/03 (2013.01); G06K 9/2054 (2013.01); G06K 9/6202 (2013.01); G06N 3/0454 (2013.01); G06N 3/08 (2013.01); G06N 3/084 (2013.01); G06T 7/246 (2017.01); G06T 7/248 (2017.01); G06T 7/74 (2017.01); G06K 2209/21 (2013.01); G06T 2207/10016 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/20084 (2013.01); G06T 2207/30196 (2013.01);
Abstract

Disclosed are methods for object tracking. In an example, the method comprises: determining a region of interest (ROI) in a first frame of a video sequences; feeding the determined ROI forward through a first CNN (convolutional network) to obtain a plurality of first feature maps in a higher layer of the CNN and a plurality of second feature maps in a lower layer of the first CNN; selecting a plurality of feature maps from the first and second feature maps, respectively; predicting, based on the selected first and second feature maps, two target heat maps indicating a target location for said objects in the current frame, respectively; and estimating, based on the two predicated target heat maps, a final target location for the object in the current frame.


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