A novel correlation filter tracking algorithm based on feature integration

Qian Li; Zhezhou Yu; Zhao Chen

doi:10.1117/12.2502945

9 August 2018 A novel correlation filter tracking algorithm based on feature integration

Qian Li, Zhezhou Yu, Zhao Chen

Proceedings Volume 10806, Tenth International Conference on Digital Image Processing (ICDIP 2018); 108063V (2018) https://doi.org/10.1117/12.2502945
Event: Tenth International Conference on Digital Image Processing (ICDIP 2018), 2018, Shanghai, China

Abstract

In this paper, we proposed a new object tracking method based on correlation filter, it performs good performance among various disturbances including illumination variation, background clutter, motion blur, scale variation and out-of-plane rotation, etc. Local Intensity Order Pattern(LIOP) feature and color names (CN) feature are integrated to the correlation filter framework. In the proposed method, it first predicts the center position, and then select seven different size of patches for scale selection to improve the accuracy of the algorithm. The experimental results on benchmark videos show that the proposed tracker achieves a higher accuracy compared with those classic trackers based on correlation filter and other popular ones.

Citation Download Citation

Qian Li, Zhezhou Yu, and Zhao Chen "A novel correlation filter tracking algorithm based on feature integration", Proc. SPIE 10806, Tenth International Conference on Digital Image Processing (ICDIP 2018), 108063V (9 August 2018); https://doi.org/10.1117/12.2502945

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
9 PAGES

DOWNLOAD PAPER SAVE TO MY LIBRARY

GET CITATION

RIGHTS & PERMISSIONS

Get copyright permission Get copyright permission on Copyright Marketplace

KEYWORDS

Detection and tracking algorithms

Image filtering

Electronic filtering

Optical tracking

Visualization

Databases

Digital filtering

Keywords/Phrases

Search In:

Publication Years