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L-K光流法---视频追踪

时间:2015-03-10 13:44:16      阅读:542      评论:0      收藏:0      [点我收藏+]

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     光流法基本概念介绍如下:https://chunqiu.blog.ustc.edu.cn/?p=661

     原文作者阐述的十分详细,按照我一个行外人的理解来说就是一个运动模糊轨迹实时检测。视频光流检测所有代码如下:

  

% 光流法测试--视频
clc
clear
close all
% 读取文件对象
videoReader = vision.VideoFileReader(‘D:\桌面\图像处理\00-1-

1.avi‘,‘ImageColorSpace‘,‘Intensity‘,‘VideoOutputDataType‘,‘uint8‘);
% 类型转化对象
converter = vision.ImageDataTypeConverter;
% 光流对象
opticalFlow = vision.OpticalFlow(‘ReferenceFrameDelay‘, 1);
opticalFlow.OutputValue = ‘Horizontal and vertical components in complex form‘;
if 0 % 使用的算法
opticalFlow.Method = ‘Lucas-Kanade‘;
opticalFlow.NoiseReductionThreshold = 0.001; % 默认是0.0039
else
opticalFlow.Method = ‘Horn-Schunck‘;
opticalFlow.Smoothness = 0.5; % 默认是1
end
% 显示对象
frame = step(videoReader);
figure
subplot(121)
himg = imshow(frame);
subplot(122)
hof = imshow(frame);
% 开始播放
while ~isDone(videoReader)
% 得到一帧
frame = step(videoReader);
% 格式转化
im = step(converter, frame);
% 计算光流
of = step(opticalFlow, im);
% 光流图转化
ofI = computeColor(real(of), imag(of));
% 显示
set(himg, ‘cdata‘, frame)
set(hof, ‘cdata‘, ofI)
drawnow
end
release(videoReader);

 

function img = computeColor(u,v)
%   computeColor color codes flow field U, V
%   According to the c++ source code of Daniel Scharstein
%   Contact: schar@middlebury.edu
%   Author: Deqing Sun, Department of Computer Science, Brown University
%   Contact: dqsun@cs.brown.edu
%   $Date: 2007-10-31 21:20:30 (Wed, 31 Oct 2006) $
% Copyright 2007, Deqing Sun.
%
%                         All Rights Reserved
%
% Permission to use, copy, modify, and distribute this software and its
% documentation for any purpose other than its incorporation into a
% commercial product is hereby granted without fee, provided that the
% above copyright notice appear in all copies and that both that
% copyright notice and this permission notice appear in supporting
% documentation, and that the name of the author and Brown University not be used in
% advertising or publicity pertaining to distribution of the software
% without specific, written prior permission.
%
% THE AUTHOR AND BROWN UNIVERSITY DISCLAIM ALL WARRANTIES WITH REGARD TO THIS SOFTWARE,
% INCLUDING ALL IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR ANY
% PARTICULAR PURPOSE.  IN NO EVENT SHALL THE AUTHOR OR BROWN UNIVERSITY BE LIABLE FOR
% ANY SPECIAL, INDIRECT OR CONSEQUENTIAL DAMAGES OR ANY DAMAGES
% WHATSOEVER RESULTING FROM LOSS OF USE, DATA OR PROFITS, WHETHER IN AN
% ACTION OF CONTRACT, NEGLIGENCE OR OTHER TORTIOUS ACTION, ARISING OUT OF
% OR IN CONNECTION WITH THE USE OR PERFORMANCE OF THIS SOFTWARE.
nanIdx = isnan(u) | isnan(v);
u(nanIdx) = 0;
v(nanIdx) = 0;
colorwheel = makeColorwheel();
ncols = size(colorwheel, 1);
rad = sqrt(u.^2+v.^2);         
a = atan2(-v, -u)/pi;
fk = (a+1) /2 * (ncols-1) + 1;  % -1~1 maped to 1~ncols
k0 = floor(fk);                 % 1, 2, ..., ncols
k1 = k0+1;
k1(k1==ncols+1) = 1;
f = fk - k0;

for i = 1:size(colorwheel,2)
    tmp = colorwheel(:,i);
    col0 = tmp(k0)/255;
    col1 = tmp(k1)/255;
    col = (1-f).*col0 + f.*col1;  
    idx = rad <= 1;  
    col(idx) = 1-rad(idx).*(1-col(idx));    % increase saturation with radius
    col(~idx) = col(~idx)*0.75;             % out of range
    img(:,:, i) = uint8(floor(255*col.*(1-nanIdx)));        
end;   

%%
function colorwheel = makeColorwheel()
%   color encoding scheme
%   adapted from the color circle idea described at
%   http://members.shaw.ca/quadibloc/other/colint.htm
RY = 15;
YG = 6;
GC = 4;
CB = 11;
BM = 13;
MR = 6;

ncols = RY + YG + GC + CB + BM + MR;
colorwheel = zeros(ncols, 3); % r g b
col = 0;
%RY
colorwheel(1:RY, 1) = 255;
colorwheel(1:RY, 2) = floor(255*(0:RY-1)/RY)‘;
col = col+RY;
%YG
colorwheel(col+(1:YG), 1) = 255 - floor(255*(0:YG-1)/YG)‘;
colorwheel(col+(1:YG), 2) = 255;
col = col+YG;
%GC
colorwheel(col+(1:GC), 2) = 255;
colorwheel(col+(1:GC), 3) = floor(255*(0:GC-1)/GC)‘;
col = col+GC;
colorwheel(col+(1:CB), 2) = 255 - floor(255*(0:CB-1)/CB)‘;
colorwheel(col+(1:CB), 3) = 255;
col = col+CB;
%BM
colorwheel(col+(1:BM), 3) = 255;
colorwheel(col+(1:BM), 1) = floor(255*(0:BM-1)/BM)‘;
col = col+BM;
%MR
colorwheel(col+(1:MR), 3) = 255 - floor(255*(0:MR-1)/MR)‘;
colorwheel(col+(1:MR), 1) = 255;

 运行结果如下图所示:

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L-K光流法---视频追踪

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原文地址:http://www.cnblogs.com/Martin-Ma/p/4325633.html

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