🚀 go-pugleaf

In article <sjreeves.921229182449@fourier.ee.eng.auburn.edu> sjreeves@eng.auburn.edu (Stan Reeves) writes:
>Beginning in January, I will be leading a senior design project that
>involves tracking a single rigid object in an image sequence.  Can
>anyone suggest some standard algorithms for accomplishing this?  I
>could dream up several approaches, but I would like to point the 
>students to some references on techniques that are commonly used for
>this type of problem.  I'm hoping to have them check out more than
>one approach, so a variety of responses would be great.  Any help is
>appreciated.  

See Jain, Anil K., _Fundamentals of Image Processing_, ISBN 0-13-336165-9

Jain covers this subject quite well in Chapter 9 "Image Analysis and
Computer Vision."  See, in particular, section 9.12, pp. 400-406,
Scene Matching and Detection.

I use an adaptation of the correlational techniques described to track
objects (cells) through a series of images at reasonable rates.  The
technique works fairly well even when the cells are undergoing
moderately radical morphological changes.

							spl
-- 
Steve Lamont, SciViGuy -- (619) 534-7968 -- spl@szechuan.ucsd.edu
UCSD Microscopy and Imaging Resource/UCSD Med School/La Jolla, CA 92093-0608
"Living alone is living in perpetual irony and thinking, more and more
frequently, Why not."   - Joyce Carol Oates, "The Boyfriend"