A cascade network-based vehicle re-identification method and device
A cascaded network and vehicle recognition technology, applied in the field of vehicle re-identification method and device based on cascaded network, can solve the problem of low accuracy of vehicle recognition
Active Publication Date: 2022-03-22
OBJECTEYE (BEIJING) TECH CO LTD
View PDF12 Cites 0 Cited by
- Summary
- Abstract
- Description
- Claims
- Application Information
AI Technical Summary
Problems solved by technology
[0004] The present invention provides a cascaded network-based vehicle re-identification method and device to solve the defect of low vehicle identification accuracy in the prior art
Method used
the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View moreImage
Smart Image Click on the blue labels to locate them in the text.
Smart ImageViewing Examples
Examples
Experimental program
Comparison scheme
Effect test
Embodiment Construction
[0047] In order to make the purpose, technical solutions and advantages of the present invention clearer, the technical solutions in the present invention will be clearly and completely described below in conjunction with the accompanying drawings in the present invention. Obviously, the described embodiments are part of the embodiments of the present invention , but not all examples. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without creative efforts fall within the protection scope of the present invention.
[0048] At present, the target vehicle image features and multiple candidate vehicle image features are extracted from the target vehicle image to be recognized and the surveillance video image, and then based on the target vehicle image features and each candidate vehicle image feature, the corresponding candidate vehicles are determined. target vehicle. However, the image features are used ...
the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More PUM
Login to View More Abstract
The present invention provides a cascaded network-based vehicle re-identification method and device, the method comprising: performing feature extraction on a target vehicle image and each candidate vehicle image to obtain image features of the target vehicle image and image features of each candidate vehicle image ; Based on the vehicle type recognition model, feature extraction is performed on the image features of the target vehicle image and the image features of each candidate vehicle image to obtain the target vehicle model features and each candidate vehicle model feature; based on the image features of the target vehicle image and the target vehicle model features , determine the identity features of the target vehicle, and determine the identity features of each candidate vehicle based on the image features of each candidate vehicle image and the model features of each candidate vehicle; determine the target vehicle from each candidate vehicle based on the identity features of the target vehicle and each candidate vehicle , to get the vehicle re-identification result. The invention can further improve the accuracy of vehicle re-identification.
Description
technical field [0001] The invention relates to the technical field of computer vision, in particular to a cascaded network-based vehicle re-identification method and device. Background technique [0002] Given an image of a probed vehicle, the task of vehicle re-identification is to search a database for images containing the same vehicle captured by multiple cameras. Vehicle re-identification has universal applications in video surveillance, intelligent transportation and urban computing, and can quickly find, locate and track target vehicles in large-scale surveillance videos. [0003] At present, the target vehicle image features and multiple candidate vehicle image features are extracted from the target vehicle image to be recognized and the surveillance video image, and then based on the target vehicle image features and each candidate vehicle image feature, the corresponding candidate vehicles are determined. target vehicle. However, when there are multiple candidat...
Claims
the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More Application Information
Patent Timeline
Login to View More Patent Type & Authority Patents(China)
IPC IPC(8): G06V20/58G06K9/62G06V10/774
CPCG06F18/214
Inventor 王金桥郭海云朱宽赵朝阳
Owner OBJECTEYE (BEIJING) TECH CO LTD