Quadrilateral-based region segmentation for tracking

Nelson Hon Ching Yung; H. Y. Chung; Paul Y. S. Cheung

doi:10.1117/1.1511747

1 November 2002 Quadrilateral-based region segmentation for tracking

Nelson Hon Ching Yung, H. Y. Chung, Paul Y. S. Cheung

Optical Engineering, Vol. 41, Issue 11, (November 2002). https://doi.org/10.1117/1.1511747

We propose a novel quadrilateral based region segmentation method that is favorable for object tracking. Instead of using groups of pixels or regular blocks, it uses groups of connected quadrilaterals to represent regions. The proposed method derives the vertices of each quadrilateral from the edge map using the concept of center of masses. By merging the quadrilaterals, regions can be represented. The proposed method offers better data reduction than pixelwise region representation and better boundary approximation than block-based segmentation methods. Experimental results show that it generates a more reasonable region map, which is more suitable for object tracking, and a smaller number of regions than the seeded region growing, K-means clustering, and constrained gravitational clustering methods.

©(2002) Society of Photo-Optical Instrumentation Engineers (SPIE)

Citation Download Citation

Nelson Hon Ching Yung, H. Y. Chung, and Paul Y. S. Cheung "Quadrilateral-based region segmentation for tracking," Optical Engineering 41(11), (1 November 2002). https://doi.org/10.1117/1.1511747

Published: 1 November 2002

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