p-run.rar - p-run - run programs on remote hosts in parallel
Copyright (C) 2003 Frank Sorenson (frank@byu.net)
This program is free software you can redistribute it and/or
modify it under the terms of the GNU General Public License
as published by the Free Software Foundation either version 2
of the License, or (at your option) any later version.
This program is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
GNU General Public License for more details.
You should have received a copy of the GNU General Public License
along with this program if not, write to the Free Software
Foundation, Inc., 59 Temple Place - Suite 330, Boston, MA 02111-1307, USA.,2009-10-08 13:18:37,下载6次
DeformPFMT.zip - Code written by Namrata Vaswani. A small part of the code (a little bit of the level set part) is taken from code written by Yogesh Rathi
Please cite
Namrata Vaswani, Yogesh Rathi, Anthony Yezzi, Allen Tannenbaum, PF-MT with an Interpolation Effective Basis for Tracking Local Contour Deformations, Accepted to IEEE Trans. Image Processing, 2008
when using this code
A shorter version of this work appeared in
Namrata Vaswani, Anthony Yezzi, Yogesh Rathi, Allen Tannenbaum, Time-varying Finite Dimensional Basis for Tracking Contour Deformations, IEEE Conf. on Decision and Control (CDC), 2006.
,2009-10-07 14:54:27,下载28次
matlab_v.rar - Motion Tracking
===============
This tarball contains all code required to run the tracking algorithm
on a sequence of images. Run the file run_tracker.m in Matlab and
follow the instructions. You will need to have a directory of
sequentially numbered images available. After entering the path and
file types the tracker will begin processing. Once the data window
appears the algorithm begins building a background model and attempts
to track objects. By clicking on any of the four subwindows you can
investigate the background representation (a Mixture of Gaussians) of
any pixel. The two windows that then appear display the mixture once
as a two-dimensional scatter plot (ignoring the blue colour
component), and once as a one-dimensional evolution of the red colour
component only. These plots make the internal processing visible and
should help determining suitable parameters to be set in
mixture_parameters.m.,2009-10-07 14:48:37,下载124次