📄 mytracking.m
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%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% PROJECT:
% Fast Feature Tracking
% DATE/Version:
% 2008.4- V 1.0
% Description:
% The provided p code constitues the Fast Feature Tracking algorithm as
% implemented in Matlab. Run the MyTacking.m filte to see the algorithm
% work on the given videos.
% NOTE: This is by no means an optimal implementaion, there are many
% redundent calculations that can be eliminated.It can run over 25
% Frames per s after optimization. The Tracking Result is in
% current directory!
% If you the errors happen during Tracking,please type "clear
% all" in the Command Window,then you can see the Tracking Result in
% current directory!
% References:
% Now the optimal C code has ran better results not only in Windows but also in DSP Platform.
% Project file list:
% MyTracking.m
% ObjectTracking.p
% Location.p
% FeatureSelect.p
% FeatrueFind.p
% FeatureCheck.p
%Contact:drwer@qq.com QQ:418123705
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%需要注意的是算法是跟踪序列图象,需要将视频转换为单帧的序列图象,且命名是按照001.jpg表示第一帧图象,
%500.jpg表示第500帧图象,且这里已被限制最多跟踪500帧图象,图象格式为.jpg格式,目标大小也被限制为不
%大于60*60,不小于8*8,跟踪效果与是否准确初始化目标大小以及背景复杂度有一定联系,能够接受目标发生平
%移旋转以及仿射变化,同时对于目标较小尺度变化也能够接受,同时对图象在低信噪比也能够实现稳定的跟踪,
%对抖动不敏感,相对与许多传统的跟踪算法而言,本算法更能适应跟踪的一般性。%算法运算量并不大,能够在
%WINDOWS上实现目标的稳定跟踪,对于直接移植到DSP上不需要优化代码便能够达到实时,具有较好的跟踪结果。
close all;clear all; clc %清空当前内存变量,关闭图象窗口,清空命令行
cd('d:\MATLAB08\work\Test2') %将工作目录更改为当前目录
Hight=30; %目标垂直高度设置
Width=20; %目标水平宽度设置
ObjectTracking(Hight,Width); %跟踪开始
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