An improved KCF tracking algorithm based on multi-feature and multi-scale

Wei Wu; Ding Wang; Xin Luo; Yang Su; Weiye Tian

doi:10.1117/12.2282345

19 February 2018 An improved KCF tracking algorithm based on multi-feature and multi-scale

Wei Wu, Ding Wang, Xin Luo, Yang Su, Weiye Tian

Proceedings Volume 10608, MIPPR 2017: Automatic Target Recognition and Navigation; 1060803 (2018) https://doi.org/10.1117/12.2282345
Event: Tenth International Symposium on Multispectral Image Processing and Pattern Recognition (MIPPR2017), 2017, Xiangyang, China

Abstract

The purpose of visual tracking is to associate the target object in a continuous video frame. In recent years, the method based on the kernel correlation filter has become the research hotspot. However, the algorithm still has some problems such as video capture equipment fast jitter, tracking scale transformation. In order to improve the ability of scale transformation and feature description, this paper has carried an innovative algorithm based on the multi feature fusion and multi-scale transform. The experimental results show that our method solves the problem that the target model update when is blocked or its scale transforms. The accuracy of the evaluation (OPE) is 77.0%, 75.4% and the success rate is 69.7%, 66.4% on the VOT and OTB datasets. Compared with the optimal one of the existing target-based tracking algorithms, the accuracy of the algorithm is improved by 6.7% and 6.3% respectively. The success rates are improved by 13.7% and 14.2% respectively.

Citation Download Citation

Wei Wu, Ding Wang, Xin Luo, Yang Su, and Weiye Tian "An improved KCF tracking algorithm based on multi-feature and multi-scale", Proc. SPIE 10608, MIPPR 2017: Automatic Target Recognition and Navigation, 1060803 (19 February 2018); https://doi.org/10.1117/12.2282345

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