Adaptive multiclass correlation filters and its applications in the time series recognition

Linlin Yang; Ce Li; Chunyu Xie; Linna Wang; Baochang Zhang

doi:10.1117/1.JEI.27.3.033010

12 May 2018 Adaptive multiclass correlation filters and its applications in the time series recognition

Linlin Yang, Ce Li, Chunyu Xie, Linna Wang, Baochang Zhang

Author Affiliations +

Journal of Electronic Imaging, Vol. 27, Issue 3, 033010 (May 2018). https://doi.org/10.1117/1.JEI.27.3.033010

Abstract

The adaptive multiclass correlation filters (AMCF) method is proposed to exploit different kinds of features and information in a unified framework for recognition. Theoretical investigation into AMCF shows that it obtains a closed-form subsolution to constrain the optimization objective, simplifying the entire inference mechanism in the multiclass classification. The time series recognition problems, such as human action recognition and radar behavior recognition, are important yet challenging tasks. However, it is still time-consuming to acquire enough labeled training samples. AMCF is capable to exploit different kinds of features to solve the time series recognition problem. With this new correlation filters-based method, we extend the original signals and handle the insufficient training set effectively. Experiments are done on the depth image based action recognition and radar behavior recognition with a small number of training examples, including MSRAction3D, MSRGesture3D, UTD-MHAD, and radar behavior datasets. Particularly, we demonstrate that the proposed action recognition system is based on the completed local binary patterns and AMCF, and successfully achieves superior performances over the state-of-the-arts.

Citation Download Citation

Linlin Yang, Ce Li, Chunyu Xie, Linna Wang, and Baochang Zhang "Adaptive multiclass correlation filters and its applications in the time series recognition," Journal of Electronic Imaging 27(3), 033010 (12 May 2018). https://doi.org/10.1117/1.JEI.27.3.033010

Received: 9 January 2018; Accepted: 13 April 2018; Published: 12 May 2018

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: $24.00

Non-members: $28.00 ADD TO CART

JOURNAL ARTICLE
10 PAGES

DOWNLOAD PAPER SAVE TO MY LIBRARY

GET CITATION

RIGHTS & PERMISSIONS

Get copyright permission Get copyright permission on Copyright Marketplace

KEYWORDS

Image filtering

Radar

Digital filtering

Binary data

3D modeling

3D image processing

Electronic filtering

Show All Keywords

Keywords/Phrases

Search In:

Publication Years