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