调整光流框架

时间:2016-03-22 00:50:49

标签: matlab image-processing computer-vision matlab-cvst opticalflow

如果框架尺寸以任何方式被操纵,我都会遇到光流问题,这会给我带来错误。有两个选项可以在开始时更改视频的分辨率,或者以某种方式以光流的工作方式更改帧大小。我想在进一步开发中添加一个级联对象来检测鼻子,嘴巴和眼睛,因此我需要适用于各个区域的解决方案,而无需为这些区域单独设置光流,特别是边界框没有固定大小的它将逐帧取代自己。到目前为止,这是我的代码,错误是它超出了矩阵维度。

faceDetector = vision.CascadeObjectDetector();

vidObj = vision.VideoFileReader('MEXTest.mp4','ImageColorSpace','Intensity','VideoOutputDataType','uint8');
converter = vision.ImageDataTypeConverter;
opticalFlow = vision.OpticalFlow('ReferenceFrameDelay', 1);
opticalFlow.OutputValue = 'Horizontal and vertical components in complex form';
shapeInserter = vision.ShapeInserter('Shape','Lines','BorderColor','Custom','CustomBorderColor', 255);
vidPlayer = vision.VideoPlayer('Name','Motion Vector');

while ~isDone(vidObj);
    frame = step(vidObj);
    fraRes = imresize(frame,0.5);
    fbbox = step(faceDetector,fraRes);

    I = imcrop(fraRes,fbbox); 

    im = step(converter,I);
    of = step(opticalFlow,im);
    lines = videooptflowlines(of, 20);
    if ~isempty(lines)
        out = step(shapeInserter,im,lines);
        step(vidPlayer,out);
    end
end
release(vidPlayer);
release(VidObj);

1 个答案:

答案 0 :(得分:1)

更新:我去编辑光流功能,创建线条,这可以解决一些尺寸问题,但是有必要为每个对象手动输入(所以如果还有其他方式让我知道)。我认为最好的解决方案是为cascadeObjectDetector设置一个固定的大小,有谁知道怎么做?还是有其他想法?

faceDetector = vision.CascadeObjectDetector(); %I need fixed size for this
faceDetector.MinSize = [150 150];

vidRead = vision.VideoFileReader('MEXTest.mp4','ImageColorSpace','Intensity','VideoOutputDataType','uint8');
convert = vision.ImageDataTypeConverter; 
optFlo = vision.OpticalFlow('ReferenceFrameDelay', 1);
optFlo.OutputValue = 'Horizontal and vertical components in complex form';
shapeInserter = vision.ShapeInserter('Shape','Lines','BorderColor','Custom',  'CustomBorderColor', 255);

while ~isDone(vidRead)
    frame = step(vidRead);
    fraRes = imresize(frame,0.3);
    fraSin = im2single(fraRes);

    bbox = step(faceDetector,fraSin);

    I = imcrop(fraSin, bbox); 

    im = step(convert, I); 
    release(optFlo);
    of = step(optFlo, im);
    lines = optfloo(of, 50); %use videooptflowlines instead of (optfloo)
    out =  step(shapeInserter, im, lines); 
    imshow(out);
end