A new spatial-temporal video object segmentation algorithm based on region compensation in fixed time interval

Shiping Zhu; Yunyu Lin; Qingrong Zhang

doi:10.1117/12.806835

13 October 2008 A new spatial-temporal video object segmentation algorithm based on region compensation in fixed time interval

Shiping Zhu, Yunyu Lin, Qingrong Zhang

Author Affiliations +

Proceedings Volume 7128, Seventh International Symposium on Instrumentation and Control Technology: Measurement Theory and Systems and Aeronautical Equipment; 712822 (2008) https://doi.org/10.1117/12.806835
Event: Seventh International Symposium on Instrumentation and Control Technology, 2008, Beijing, China

Abstract

A post-processing algorithm of video object segmentation that is based on region compensation in fixed time interval is proposed on the base of the traditional spatial-temporal video object segmentation algorithm. Firstly, an image variation detection template is calculated by noise suppression and dilatation linking of frame difference images; Secondly, the morphological gradient is calculated by the simplification of morphological opening and closing reconstruction of the original image. The accurate boundary of the object can be obtained by watershed algorithm through the nonlinear transformation and gradient grade classification of the morphological gradient image. The initial binary template of the video object can be extracted through proportion calculation; Thirdly, the final complete video object template can be obtained through region compensation in fixed time interval. Experimental results indicate the correctness and validity of the proposed video object segmentation algorithm.

Citation Download Citation

Shiping Zhu, Yunyu Lin, and Qingrong Zhang "A new spatial-temporal video object segmentation algorithm based on region compensation in fixed time interval", Proc. SPIE 7128, Seventh International Symposium on Instrumentation and Control Technology: Measurement Theory and Systems and Aeronautical Equipment, 712822 (13 October 2008); https://doi.org/10.1117/12.806835

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