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:
Aug. 26, 2025

Filed:

Aug. 31, 2023
Applicants:

Zhejiang Lab, Hangzhou, CN;

Zhejiang University, Hangzhou, CN;

Inventors:

Wenyi Zhao, Hangzhou, CN;

Huajin Tang, Hangzhou, CN;

Chaofei Hong, Hangzhou, CN;

Xiao Wang, Hangzhou, CN;

Mengwen Yuan, Hangzhou, CN;

Yujing Lu, Hangzhou, CN;

Mengxiao Zhang, Hangzhou, CN;

Gang Pan, Hangzhou, CN;

Assignees:

ZHEJIANG LAB, Hangzhou, CN;

ZHEJIANG UNIVERSITY, Hangzhou, CN;

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
H04N 23/617 (2023.01); G06F 18/213 (2023.01); G06N 3/045 (2023.01); G06N 3/049 (2023.01); G06N 3/08 (2023.01); G06T 3/4007 (2024.01); G06T 3/4046 (2024.01); G06T 7/246 (2017.01); G06T 7/73 (2017.01); G06V 10/74 (2022.01); G06V 10/77 (2022.01); G06V 10/774 (2022.01); G06V 10/82 (2022.01); G06V 20/52 (2022.01); H04N 23/741 (2023.01); H04N 25/47 (2023.01); H04N 25/707 (2023.01);
U.S. Cl.
CPC ...
H04N 23/617 (2023.01); G06F 18/213 (2023.01); G06N 3/045 (2023.01); G06N 3/049 (2013.01); G06N 3/08 (2013.01); G06T 3/4007 (2013.01); G06T 3/4046 (2013.01); G06T 7/248 (2017.01); G06T 7/74 (2017.01); G06V 10/761 (2022.01); G06V 10/77 (2022.01); G06V 10/7715 (2022.01); G06V 10/774 (2022.01); G06V 10/82 (2022.01); G06V 20/52 (2022.01); H04N 23/741 (2023.01); H04N 25/47 (2023.01); H04N 25/707 (2023.01); G06T 7/246 (2017.01); G06T 2207/10016 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/20084 (2013.01); G06V 2201/07 (2022.01);
Abstract

A target tracking method and a target tracking system of a spiking neural network based on an event camera are provided. The method includes: acquiring a data stream of asynchronous events in a high dynamic scene of a target by an event camera as input data; dividing the data stream of the asynchronous events into synchronous event frames with millisecond time resolution; training a twin network based on a spiking neural network by a gradient substitution algorithm with a target image as a template image and a complete image as a searched image; and tracking the target by a trained twin network with interpolating a result of feature mapping to up-sample and obtaining the position of the target in an original image. The twin network includes a feature extractor and a cross-correlation calculator.


Find Patent Forward Citations

Loading…