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Description: 选取框是MFC框架程序，功能是自定义了几个可改变大小的框，可以进行拖动旋转等操作-Marquee is the MFC framework for procedures, functions of several custom can change the size of the box, you can drag to rotate, such as operation
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Size: 199680 |
Author: 刘伶俐 |
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Description: MFC 夹点产生，拖动、编辑、变形。 图形学一些很重要的概念得到体现，还可以保存操作记录-MFC generated pinch, drag, edit, deformation. Graphics some very important concepts to be reflected, but also record the save operation
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Size: 125952 |
Author: 李国泰 |
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Description: 实现的封装类CTorrentParser,完成的主要任务有:
1.判断torrent文件是否有效
2.得到如下的重要信息:
tracker服务器列表
文件列表
分块尺寸
分块个数
分块sha1的数组
3.其他的一些次要信息如发布者,发布日期,注释等
4.计算infohash
-Metainfo files are bencoded dictionaries with the following keys:
announce
The URL of the tracker.
info
This maps to a dictionary, with keys described below.
The name key maps to a string which is the suggested name to save the file (or directory) as. It is purely advisory.
piece length maps to the number of bytes in each piece the file is split into. For the purposes of transfer, files are split into fixed-size pieces which are all the same length except for possibly the last one which may be truncated. Piece length is almost always a power of two, most commonly 218 = 256 K (BitTorrent prior to version 3.2 uses 220 = 1 M as default).
pieces maps to a string whose length is a multiple of 20. It is to be subdivided into strings of length 20, each of which is the SHA1 hash of the piece at the corresponding index.
There is also a key length or a key files, but not both or neither. If length is present then the download represents a single file, otherwise it represent
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Size: 3072 |
Author: 吴开红 |
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Description: 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.-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.
Platform: |
Size: 36511744 |
Author: gobsy |
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Description: tracker.m
Continuously keeps taking snap in real time and sending to function isub for tracking
isub.m
It is a function which takes two consequent frames, subtracts them(background gets subtracted), converts the
resulting image into binary, finds the centroid of largest area of connected pixels and marks it(tracks it)
The code has been tested in MATLAB 7.6
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Size: 2048 |
Author: Vishwanath |
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Description: 下载说明
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版权请立即写信通知我们。
-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.
The code uses a solver for the linear assignment problem in lap.cpp
that must be mex-compiled before the tracker can function. My code is
set up to try to automatically compile the file src/lap/lap.cpp using
mex should it detect that it has not yet been compiled. This will
usually result in an informative message when you run the tracker for
the first time on your system, followed by Matlab exiting (this is
normal). Should automatic compilation of the file src/lap/lap.cpp fail
(i.e. upon restarting Matlab you get the same informative message as
before), then your system is probably not set up correctly and you
should invest
Platform: |
Size: 1135616 |
Author: 李岩 |
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Description: Creating an APRS tracker & automated camera with an Android phone
-This is a project for an Android phone that takes pictures and broadcasts the phone GPS coordinates using the amateur radio APRS infrastructure. I m using it as a backup tracker for a high altitude balloon project but it can be used for a couple things such as setting in one place and storing time lapse photos, or keeping track of where the phone is graphically on a map.
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Size: 55296 |
Author: kenrry |
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Description: Simple Tracker
*Tracking* , or particle linking, consist in re-building the trajectories
of one or several particles as they move along time. Their position is
reported at each frame, but their identity is yet unknown: we do not know
what particle in one frame corresponding to a particle in the previous
frame. Tracking algorithms aim at providing a solution for this problem.
-SIMPLETRACKER a simple particle tracking algorithm that can deal with gaps
*Tracking* , or particle linking, consist in re-building the trajectories
of one or several particles as they move along time. Their position is
reported at each frame, but their identity is yet unknown: we do not know
what particle in one frame corresponding to a particle in the previous
frame. Tracking algorithms aim at providing a solution for this problem.
|simpletracker.m| is- as the name says- a simple implementation of a
tracking algorithm, that can deal with gaps. A gap happens when one
particle that was detected in one frame is not detected in the subsequent
one. If not dealt with, this generates a track break, or a gap, in the
frame where the particle disappear, and a false new track in the frame
where it re-appear.
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Size: 46080 |
Author: zfhou |
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Description: this a tracker matlab code
for running this file at first run trackparam.m and then runtracker.m-this is a tracker matlab code
for running this file at first run trackparam.m and then runtracker.m
Platform: |
Size: 9640960 |
Author: saeideh |
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Description: 使用粒子滤波作目标追踪，点击tracker.m可直接运行程序。-particle tracking
Platform: |
Size: 1468416 |
Author: 车仁正 |
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