Integrated channel attention method for Siamese tracker

Ziyi Zhou; Yingran Jin; Yun Gao

doi:10.1117/12.3023385

3 April 2024 Integrated channel attention method for Siamese tracker

Ziyi Zhou, Yingran Jin, Yun Gao

Proceedings Volume 13072, Sixteenth International Conference on Machine Vision (ICMV 2023); 130720U (2024) https://doi.org/10.1117/12.3023385
Event: Sixteenth International Conference on Machine Vision (ICMV 2023), 2023, Yerevan, Armenia

Abstract

It is critical to make full use of the information of the backbone to improve the performance of object tracking. A common way to mine useful information is to add attention to features. However, most trackers only use single attention to mine the features and fail to utilize the effective information in the backbone. To leverage the useful information of features in multiple ways, this paper proposes an integrated channel attention mechanism based on all kinds of commonly used channel attention methods. First, we used ResNet50 as the backbone, and then we used four attention methods to process the fourth-stage features that were extracted from the backbone to obtain attention factors. Then, through adaptive weighting, we added the four attention methods to the original features. It adaptively adjusts the importance of each channel attention, suppresses redundant information, and better captures key features of the tracked object in different channels. The effectiveness of our approach is validated on five tracking benchmarks.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Ziyi Zhou, Yingran Jin, and Yun Gao "Integrated channel attention method for Siamese tracker", Proc. SPIE 13072, Sixteenth International Conference on Machine Vision (ICMV 2023), 130720U (3 April 2024); https://doi.org/10.1117/12.3023385

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
10 PAGES

DOWNLOAD PAPER SAVE TO MY LIBRARY

GET CITATION

RIGHTS & PERMISSIONS

Get copyright permission Get copyright permission on Copyright Marketplace

KEYWORDS

Feature extraction

Detection and tracking algorithms

Feature fusion

Education and training

Convolution

Video

Transformers

Show All Keywords

Keywords/Phrases

Search In:

Publication Years