Real-time image sequence segmentation using curve evolution

Jun Zhang; Weisong Liu

doi:10.1117/12.424958

27 April 2001 Real-time image sequence segmentation using curve evolution

Jun Zhang, Weisong Liu

Proceedings Volume 4303, Real-Time Imaging V; (2001) https://doi.org/10.1117/12.424958
Event: Photonics West 2001 - Electronic Imaging, 2001, San Jose, CA, United States

Abstract

In this paper, we describe a novel approach to image sequence segmentation and its real-time implementation. This approach uses the 3D structure tensor to produce a more robust frame difference signal and uses curve evolution to extract whole objects. Our algorithm is implemented on a standard PC running the Windows operating system with video capture from a USB camera that is a standard Windows video capture device. Using the Windows standard video I/O functionalities, our segmentation software is highly portable and easy to maintain and upgrade. In its current implementation on a Pentium 400, the system can perform segmentation at 5 frames/sec with a frame resolution of 160 by 120.

Citation Download Citation

Jun Zhang and Weisong Liu "Real-time image sequence segmentation using curve evolution", Proc. SPIE 4303, Real-Time Imaging V, (27 April 2001); https://doi.org/10.1117/12.424958

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