Title:
OBJECT RECOGNITION METHOD AND APPARATUS, AND DEVICE AND MEDIUM
Document Type and Number:
WIPO Patent Application WO/2022/179382
Kind Code:
A1
Abstract:
Disclosed are an object recognition method and apparatus, and a device and a medium. The method comprises: by means of a convolutional layer in a convolutional neural network, extracting pre-selected feature information of objects to be recognized, and performing dimension reduction processing on the pre-selected feature information by using a pooling layer, so as to obtain feature information; processing the feature information by means of a fully connected layer, so as to obtain processed feature information, extracting a target feature value from the processed feature information, and compiling statistics on the number of objects to be recognized; by means of the fully connected layer and according to the target feature value, determining corresponding target queue information from pre-stored queue information; and by means of the fully connected layer, performing a comparative analysis on the processed feature information and reference feature information of each sample object in a queue corresponding to the target queue information, and outputting a corresponding recognition result. Therefore, the time consumed by a fully connected layer in a convolutional neural network can be shortened, the time delay of a recognition process is reduced, and the recognition efficiency is improved.
Inventors:
MENG FANCHENG (CN)
WANG HONGLIANG (CN)
MOU QI (CN)
WANG HONGLIANG (CN)
MOU QI (CN)
Application Number:
PCT/CN2022/074497
Publication Date:
September 01, 2022
Filing Date:
January 28, 2022
Export Citation:
Assignee:
SHANDONG YINGXIN COMPUTER TECH CO LTD (CN)
International Classes:
G06K9/00; G06K9/62; G06N3/04; G06V10/40
Domestic Patent References:
| WO2020134099A1 | 2020-07-02 |
Foreign References:
| CN112949446A | 2021-06-11 | |||
| CN111222569A | 2020-06-02 | |||
| CN110472529A | 2019-11-19 | |||
| CN111310511A | 2020-06-19 |
Attorney, Agent or Firm:
SUNSHINE INTELLECTUAL PROPERTY INTERNATIONAL CO., LTD. (CN)
Download PDF: