Title:
OBJECT IMAGE RE-IDENTIFICATION METHOD BASED ON MULTI-FEATURE INFORMATION CAPTURE AND CORRELATION ANALYSIS
Document Type and Number:
WIPO Patent Application WO/2023/273290
Kind Code:
A1
Abstract:
An object image re-identification method based on multi-feature information capture and correlation analysis. An input feature map is weighted by using a convolutional layer having a spatial attention mechanism and a channel attention mechanism; and by means of taking the effective combination of information in a channel and information in a space into consideration, not only can important features be focused on while unnecessary features are suppressed, but the representation of an attention point can also be improved, thereby obtaining better features. By using a transformer, features obtained after image blocking has been performed can be better processed by means of a multi-head attention mechanism, richer feature information can be captured, and the correlation between the features can be taken into consideration, such that a good performance can be obtained, and the efficiency of object image retrieval can be improved. A convolutional layer, which has a channel attention mechanism and a spatial attention mechanism, and a transformer, which has a multi-head attention mechanism, are combined, such that relatively important features can be focused on from a global perspective, and fine-grained features can also be better captured, such that the performance of re-identification can be greatly improved.
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Inventors:
NIE XIUSHAN (CN)
ZHANG XUE (CN)
WANG CHUNTAO (CN)
TAO PENG (CN)
LI XIAOFENG (CN)
ZHANG XUE (CN)
WANG CHUNTAO (CN)
TAO PENG (CN)
LI XIAOFENG (CN)
Application Number:
PCT/CN2022/070929
Publication Date:
January 05, 2023
Filing Date:
January 10, 2022
Export Citation:
Assignee:
UNIV SHANDONG JIANZHU (CN)
International Classes:
G06F16/53
Foreign References:
| CN113449131A | 2021-09-28 | |||
| CN111553205A | 2020-08-18 | |||
| CN110751018A | 2020-02-04 | |||
| CN111539370A | 2020-08-14 | |||
| US20210012146A1 | 2021-01-14 |
Attorney, Agent or Firm:
JINAN SPRINGS PATENT & TRADEMARK OFFICE (CN)
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