Foreground segmentation based on tracking

Xiang Zhang; Jie Yang; Zhi Liu

doi:10.1117/1.3250188

1 October 2009 Foreground segmentation based on tracking

Xiang Zhang, Jie Yang, Zhi Liu

Author Affiliations +

Optical Engineering, Vol. 48, Issue 10, 107203 (October 2009). https://doi.org/10.1117/1.3250188

Abstract

Results obtained by current foreground segmentation algorithms are often corrupted with splits and defects, making them undesirable for high level applications. We present a new segmentation algorithm that takes advantage of tracking information for segmentation. First, the moving object is tracked with a mean-shift tracker. Second, the tracking information is used to construct a tracking-based appearance model, which is then used for segmentation. Finally, a mixture model is used to cope with the tracking error. Experiments show that the proposed method provides improved results in changing settings.

©(2009) Society of Photo-Optical Instrumentation Engineers (SPIE)

Citation Download Citation

Xiang Zhang, Jie Yang, and Zhi Liu "Foreground segmentation based on tracking," Optical Engineering 48(10), 107203 (1 October 2009). https://doi.org/10.1117/1.3250188

Published: 1 October 2009

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