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.
Patent No.:
Date of Patent:
Oct. 10, 2023
Filed:
May. 16, 2019
Applicant:
Southeast University, Nanjing, CN;
Inventors:
Assignee:
SOUTHEAST UNIVERSITY, Nanjing, CN;
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06V 20/58 (2022.01); G06T 7/11 (2017.01); G06V 20/56 (2022.01); G06V 40/10 (2022.01); G06F 18/25 (2023.01); G06N 3/045 (2023.01); G06V 10/764 (2022.01); G06V 10/80 (2022.01); G06V 10/82 (2022.01); G06V 10/44 (2022.01);
U.S. Cl.
CPC ...
G06V 20/58 (2022.01); G06F 18/253 (2023.01); G06N 3/045 (2023.01); G06T 7/11 (2017.01); G06V 10/454 (2022.01); G06V 10/764 (2022.01); G06V 10/806 (2022.01); G06V 10/82 (2022.01); G06V 20/56 (2022.01); G06V 40/10 (2022.01);
Abstract
The present invention discloses a method for segmenting pedestrians in roadside images using a variable-scale multi-feature fusion convolutional network. It addresses the challenge of significant changes in pedestrian scale by using two parallel convolutional neural networks to extract the local and global features at different scales, and then fusing them to obtain a variable-scale multi-feature fusion convolutional neural network, and this network is trained using roadside pedestrian images to realize accurate pedestrian segmentation, avoiding issues with boundary fuzziness and missing segments commonly found in single-network methods.