[人工智能] 【目标追踪】基于核相关滤波器实现目标跟踪含matlab源码

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[人工智能]【目标追踪】基于核相关滤波器实现目标跟踪含matlab源码

1 简介

目标跟踪技术在智能交通、安全监控、人机交互和运动分析等领域有着广泛的应用。近些年,目标跟踪技术取得了飞速的发展,涌现出许多优秀的目标跟踪算法,解决了很多棘手的目标跟踪问题。但是,目标跟踪技术仍然面临着很多的挑战,由于现实环境较为复杂,目前的跟踪算法在实时性、精确性等方面还不能满足实际应用。本文对KCF目标跟踪算法进行优化,KCF跟踪算法利用循环矩阵进行密集采样提取图像的HOG特征,使用正则化最小二乘分类器进行训练提高了运行速度。KCF跟踪算法的优势为目标跟踪速度快,在Benmark视频序列集OTB50的平均速度为172fps,平均精度为73.2%。?

2 部分代码

function [img_files, pos, target_sz, ground_truth, video_path] = load_video_info(base_path, video)%LOAD_VIDEO_INFO%   Loads all the relevant information for the video in the given path:%   the list of image files (cell array of strings), initial position%   (1x2), target size (1x2), the ground truth information for precision%   calculations (Nx2, for N frames), and the path where the images are%   located. The ordering of coordinates and sizes is always [y, x].?%在给定路径中加载视频的所有相关信息:图像文件列表(字符串单元数组)、初始位置(1x2)、%目标大小(1x2)、用于精确计算的ground truth信息(N帧的Nx2)以及图像所在的路径。%坐标和大小的顺序总是[y, x]。?%%   Joao F. Henriques, 2014%   http://www.isr.uc.pt/~henriques/??  %see if there's a suffix, specifying one of multiple targets, for  %example the dot and number in 'Jogging.1' or 'Jogging.2'.  %{    if numel(video) >= 2 && video(end-1) == '.' && ~isnan(str2double(video(end))),    suffix = video(end-1:end);  %remember the suffix    video = video(1:end-2);  %remove it from the video name  else    suffix = '';  end?  %full path to the video's files  if base_path(end) ~= '/' && base_path(end) ~= '\',    base_path(end+1) = '/';  end    %}  %video_path = [base_path video '/'];    %video_path = [base_path video];%     video_path = choose_video(base_path);%大概因为这句，所以我需要选择两次视频    video_path = video;        %try to load ground truth from text file (Benchmark'sformat)    %尝试从文本文件(基准测试的格式)加载ground truth  %{    filename = [video_path 'Basketball_gt' suffix '.txt'];  f = fopen(filename);  assert(f ~= -1, ['No initial position or ground truth to load ("' filename '").'])    %the format is [x, y, width, height]  try    ground_truth = textscan(f, '%f,%f,%f,%f', 'ReturnOnError',false);    catch  %#ok, try different format (no commas)    frewind(f);    ground_truth = textscan(f, '%f %f %f %f');    end    %}        text_files = dir([video_path '*_gt.txt']);  assert(~isempty(text_files), 'No initial position and ground truth (*_gt.txt) to load.')?  f = fopen([video_path text_files(1).name]);  ground_truth = textscan(f, '%f,%f,%f,%f');%已经将car4数据进行修改      ground_truth = cat(2, ground_truth{:});  fclose(f);    %set initial position and size      target_sz = [ground_truth(1,4), ground_truth(1,3)];  pos = [ground_truth(1,2), ground_truth(1,1)] + floor(target_sz/2);         if size(ground_truth,1) == 1,    %we have ground truth for the first frame only (initial position)    ground_truth = [];  else    %store positions instead of boxes    ground_truth = ground_truth(:,[2,1]) + ground_truth(:,[4,3]) / 2;  end      %from now on, work in the subfolder where all the images are  video_path = [video_path 'imgs/'];    %f or these sequences, we must limit ourselves to a range of frames.  %for all others, we just load all png/jpg files in the folder.   frames = {'David', 300, 770;        'Football1', 1, 74;        'Freeman3', 1, 460;              'Freeman4', 1, 283};    idx = find(strcmpi(video, frames(:,1)));    if isempty(idx),    %general case, just list all images    img_files = dir([video_path '*.png']);    if isempty(img_files),      img_files = dir([video_path '*.jpg']);      assert(~isempty(img_files), 'No image files to load.')    end    img_files = sort({img_files.name});  else    %list specified frames. try png first, then jpg.    if exist(sprintf('%s%04i.png', video_path, frames{idx,2}), 'file'),      img_files = num2str((frames{idx,2} : frames{idx,3})', '%04i.png');          elseif exist(sprintf('%s%04i.jpg', video_path, frames{idx,2}), 'file'),      img_files = num2str((frames{idx,2} : frames{idx,3})', '%04i.jpg');          else      error('No image files to load.')    end        img_files = cellstr(img_files);  end  end??