Width-resolution multiplier lightweight network for person re-identification

Jiatao Li; Cheng Feng; Yujie Li; Wei Fan; Lang Qin; Qinghua Zhao

doi:10.1117/12.2680428

27 June 2023 Width-resolution multiplier lightweight network for person re-identification

Jiatao Li, Cheng Feng, Yujie Li, Wei Fan, Lang Qin, Qinghua Zhao

Proceedings Volume 12705, Fourteenth International Conference on Graphics and Image Processing (ICGIP 2022); 127050J (2023) https://doi.org/10.1117/12.2680428
Event: Fourteenth International Conference on Graphics and Image Processing (ICGIP 2022), 2022, Nanjing, China

Abstract

Person re-identification is a key sub-problem in image retrieval. It is a technique to judge whether there is a specific pedestrian in an image or video by using computer vision technology, that is, a monitoring pedestrian image is given to retrieve a cross-device pedestrian image. With the development of technology, many excellent algorithms have successfully achieved excellent result in video surveillance and security fields. However, which many ReID algorithm rely on large backbone network, such as ResNet, which are designed for image classification instead of ReID. This paper presents a combined depth space (CDS) network algorithm based on width and resolution. The algorithm is mainly designed by efficient calculation for pedestrian re recognition in the current backbone network, which focus on the combined pattern information in the pedestrian image by reproducing a pedestrian re recognition network based on the combined depth space architecture search through CDs. The low-cost search strategy of Top-k sample search strategy is used to make full use of the search space and avoid falling into local optimization. Furthermore, an effective Fine-grained Balance Neck (FBLNect) is presented to balance the effects of triplet loss and SoftMax loss during the training process. Finally, the experiments on three different data sets: Market1501, DukeMTMC and MSMT17, the proposed algorithm achieves better performance when the parameters are much smaller than those of other mainstream networks.

Citation Download Citation

Jiatao Li, Cheng Feng, Yujie Li, Wei Fan, Lang Qin, and Qinghua Zhao "Width-resolution multiplier lightweight network for person re-identification", Proc. SPIE 12705, Fourteenth International Conference on Graphics and Image Processing (ICGIP 2022), 127050J (27 June 2023); https://doi.org/10.1117/12.2680428

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available

Members: $17.00

Non-members: $21.00 ADD TO CART

PROCEEDINGS
11 PAGES

DOWNLOAD PAPER SAVE TO MY LIBRARY

GET CITATION

RIGHTS & PERMISSIONS

Get copyright permission Get copyright permission on Copyright Marketplace

KEYWORDS

Education and training

Convolution

Cadmium sulfide

Cameras

Neck

Neural networks

Network architectures

Show All Keywords

Keywords/Phrases

Search In:

Publication Years