Combining discriminant embedding and transfer learning for visual tracking

Jieyan Liu; Ao Ma; Mengmeng Jing

doi:10.1117/12.2524364

6 May 2019 Combining discriminant embedding and transfer learning for visual tracking

Jieyan Liu, Ao Ma, Mengmeng Jing

Proceedings Volume 11069, Tenth International Conference on Graphics and Image Processing (ICGIP 2018); 1106946 (2019) https://doi.org/10.1117/12.2524364
Event: Tenth International Conference on Graphic and Image Processing (ICGIP 2018), 2018, Chengdu, China

Abstract

Visual tracking can be viewed as a discrimination problem to distinguish the target object from the background. However, it is difficult to get efficient training samples and there is usually a strong similarity between the foreground and the background in reality, which makes it challenging to discriminate the target object from the background. In this paper, we present a tracking method based on the combination of discriminant embedding and transfer learning to tackle the challenge. For one thing, we use the graph embedding method to characterize the relationship between the foreground samples and the background samples, for another we exploit the knowledge of the tracking results in the previous frame to track the next frame. We then learn a subspace by jointly optimizing discriminant embedding and transfer learning into a unified framework. The classifier is constructed on the learned subspace to discriminate the target from the background. Experiments on several video benchmarks demonstrate the effectiveness of our approach.

Citation Download Citation

Jieyan Liu, Ao Ma, and Mengmeng Jing "Combining discriminant embedding and transfer learning for visual tracking", Proc. SPIE 11069, Tenth International Conference on Graphics and Image Processing (ICGIP 2018), 1106946 (6 May 2019); https://doi.org/10.1117/12.2524364

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
12 PAGES

DOWNLOAD PAPER SAVE TO MY LIBRARY

GET CITATION

RIGHTS & PERMISSIONS

Get copyright permission Get copyright permission on Copyright Marketplace

KEYWORDS

Particles

Optical tracking

Video

Data modeling

Detection and tracking algorithms

Electronic filtering

Matrix multiplication

Show All Keywords

Keywords/Phrases

Search In:

Publication Years