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:
May. 09, 2023

Filed:

Dec. 21, 2021
Applicant:

Altumview Systems Inc., Burnaby, CA;

Inventors:

Yu Gao, North Vancouver, CA;

Xing Wang, Shenzhen, CN;

Rui Ma, Changchun, CN;

Chao Shen, Ottawa, CA;

Minghua Chen, Coquitlam, CA;

Jie Liang, Coquitlam, CA;

Jianbing Wu, Coquitlam, CA;

Assignee:

AltumView Systems Inc., Vancouver, CA;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06T 7/246 (2017.01); G06T 7/73 (2017.01); G06T 5/20 (2006.01); G06T 7/262 (2017.01); B64C 39/02 (2023.01); G06V 10/20 (2022.01);
U.S. Cl.
CPC ...
G06T 7/262 (2017.01); B64C 39/024 (2013.01); G06V 10/255 (2022.01); B64C 2201/127 (2013.01); G06T 2207/20056 (2013.01);
Abstract

Embodiments described herein provide various examples of real-time visual object tracking. In another aspect, a process for performing a local re-identification of a target object which was earlier detected in a video but later lost when tracking the target object is disclosed. This process begins by receiving a current video frame of the video and a predicted location of the target object. The process then places a current search window in the current video frame centered on or in the vicinity of the predicted location of the target object. Next, the process extracts a feature map from an image patch within the current search window. The process further retrieves a set of stored feature maps computed at a set of previously-determined locations of the target object from a set of previously-processed video frames in the video. The process next computes a set of correlation maps between the feature map and each of the set of stored feature maps. The process then attempts to re-identify the target object locally in the current video frame based on the set of computed correlation maps.


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