MATLAB 行人检测

行人检测 通过训练获取目标

function windows = create_windows（input_imageoverlapscaling）
% create_windows constructs a pyramid of windows in different spatial and
% resolution levels. 
% overlap: the number of pixels between starting coordinates of two windows
% scaling: the size reduction between corresponding resolution levels

I = im2double（input_image）;
[ysize xsize~] = size（I）;
ylev = log（ysize/128）/log（1/scaling）;
xlev = log（xsize/64）/log（1/scaling）;
levels = floor（min（ylevxlev））+1;

windows = cell（levels1）;
f = input_image;

for index = 1:levels
    scale = （1/scaling）^（index-1）;
    windows{index} = slide_window（foverlapscale）;
    f = imresize（fscaling）;
end

 属性            大小     日期    时间   名称
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     文件    3698735  2018-05-15 15:14  Pedestrian-Detection-Code-master\95066.pdf

     文件    7288716  2014-02-21 13:52  Pedestrian-Detection-Code-master\bg_model_pets_110_180.mat

     文件   25615199  2014-02-21 13:52  Pedestrian-Detection-Code-master\bg_model_towncentre_1_250.mat

     文件        675  2015-05-11 14:01  Pedestrian-Detection-Code-master\create_windows.m

     文件       2169  2015-05-11 14:01  Pedestrian-Detection-Code-master\detect_pedestrian.m

     文件       2416  2015-05-11 14:01  Pedestrian-Detection-Code-master\HOG_Features.m

     文件        383  2015-05-11 14:01  Pedestrian-Detection-Code-master\HOG_Vote.m

     文件       2549  2015-05-11 14:01  Pedestrian-Detection-Code-master\make_video.m

     文件       2392  2015-05-11 14:01  Pedestrian-Detection-Code-master\NMS.m

     文件        860  2015-05-11 14:01  Pedestrian-Detection-Code-master\plot_boxes.m

     文件        540  2015-05-11 14:01  Pedestrian-Detection-Code-master\plot_boxes_NMS.m

    .......      2812  2015-05-11 14:01  Pedestrian-Detection-Code-master\README.txt

     文件        734  2015-05-11 14:01  Pedestrian-Detection-Code-master\slide_window.m

     文件        809  2015-05-11 14:01  Pedestrian-Detection-Code-master\SlidingWindow.m

     文件        512  2018-05-14 21:59  Pedestrian-Detection-Code-master\startup.m

     目录          0  2018-05-15 16:36  Pedestrian-Detection-Code-master

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