Video tracking using morphological pyramids

C. Andrew Segall; Wei Chen; Scott Thomas Acton

doi:10.1117/1.482689

1 April 1999 Video tracking using morphological pyramids

C. Andrew Segall, Wei Chen, Scott Thomas Acton

Journal of Electronic Imaging, Vol. 8, Issue 2, (April 1999). https://doi.org/10.1117/1.482689

In this paper, the utilization of morphological pyramids for object tracking is detailed. Image pyramids, constructed via morphological operations and subsampling, have been previously applied to the image compression and progressive transmission problems. We extend the application of the morphological pyramid to the video tracking problem—following the position of a previously identified moving object in a sequence of video frames. Morphological pyramids allow both a considerable tolerance of noise and a saving in computational time for video tracking. Experimental results from the application of the morphological pyramid to noisy IR image sequences are presented. Our results show that the computational efficiency of the morphological pyramid for tracking significantly improves upon the traditional fixed resolution approach by organizing a search from coarse to fine. Furthermore, the morphological pyramid significantly enhances performance over the comparable linear pyramid methods.

Citation Download Citation

C. Andrew Segall, Wei Chen, and Scott Thomas Acton "Video tracking using morphological pyramids," Journal of Electronic Imaging 8(2), (1 April 1999). https://doi.org/10.1117/1.482689

Published: 1 April 1999

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