CONFERENCE PROCEEDINGS
Advanced Search
Home > Proceedings > Volume 12348 > Article
Paper
10 November 2022 Visual tracking based on multi-feature fusion
Xiaoning Zhao, Xiaoxia Han, Siting Liu, Xinying Xu
Author Affiliations +
Proceedings Volume 12348, 2nd International Conference on Artificial Intelligence, Automation, and High-Performance Computing (AIAHPC 2022); 1234844 (2022) https://doi.org/10.1117/12.2641878
Event: 2nd International Conference on Artificial Intelligence, Automation, and High-Performance Computing (AIAHPC 2022), 2022, Zhuhai, China
Abstract
Object feature representation is one of the most important links in visual tracking. Traditional single feature are difficult to accurately describe the appearance characteristics of the target, and it is difficult to accurately track the target for large appearance changes. In view of the above problems, we use the convolution feature and color histogram feature to train the deep and shallow correlation filters respectively to jointly represent the object features, and propose a dynamic weight strategy to adaptive combine the two features. The background information around the target is introduced by introducing the context aware framework as the training samples to jointly train the filter. The combination weights of deep and shallow layers are calculated through the dynamic weight strategy, so as to realize the adaptive combination of the two features. The proposed algorithm is tested on OTB2015 data set. The results show that the algorithm can improve the accuracy and success rate of tracking
© (2022) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Citation Download Citation
Xiaoning Zhao, Xiaoxia Han, Siting Liu, and Xinying Xu "Visual tracking based on multi-feature fusion", Proc. SPIE 12348, 2nd International Conference on Artificial Intelligence, Automation, and High-Performance Computing (AIAHPC 2022), 1234844 (10 November 2022); https://doi.org/10.1117/12.2641878
ACCESS THE FULL ARTICLE
ORGANIZATIONAL
Sign in with credentials provided by your organization.
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
 5 PAGES
DOWNLOAD PAPER SAVE TO MY LIBRARY
GET CITATION
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Detection and tracking algorithms
Feature extraction
Convolution
Visualization
RELATED CONTENT
Subscribe to Digital Library
Receive Erratum Email Alert
Back to Top