【视频检测】基于STRCF算法实现行人目标跟踪附matlab代码

最新推荐文章于 2025-05-06 14:45:37 发布

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最新推荐文章于 2025-05-06 14:45:37 发布

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文章标签： matlab 算法目标跟踪

本文链接：https://blog.youkuaiyun.com/matlab_dingdang/article/details/124831281

该博客演示了如何在MATLAB中运行STRCF（斯皮尔曼相关系数滤波器）目标跟踪器，并利用深度特征进行目标检测。博主分享了一段代码，用于在名为'Human3'的视频上运行STRCF，并计算了跟踪结果的精度和帧率。实验结果显示了STRCF在目标跟踪上的性能，并引用了一篇相关研究论文。博客作者擅长多种MATLAB仿真，包括智能优化、神经网络等领域。

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1 简介

2 部分代码

% This demo script runs the STRCF tracker with deep features on the% included "Human3" video.% Add pathssetup_paths();%  Load video informationbase_path  =  './sequences';%video  = choose_video(base_path);video = 'Human3';video_path = [base_path '/' video];[seq, gt_boxes] = load_video_info(video_path);% Run STRCFresults = run_STRCF(seq);%results = run_DeepSTRCF(seq);pd_boxes = results.res;thresholdSetOverlap = 0: 0.05 : 1;success_num_overlap = zeros(1, numel(thresholdSetOverlap));res = calcRectInt(gt_boxes, pd_boxes);for t = 1: length(thresholdSetOverlap)    success_num_overlap(1, t) = sum(res > thresholdSetOverlap(t));endcur_AUC = mean(success_num_overlap) / size(gt_boxes, 1);FPS_vid = results.fps;display([video  '---->' '   FPS:   ' num2str(FPS_vid)   '    op:   '   num2str(cur_AUC)]);