足球场内足球自动检测数据集，用于检测在比赛中是否有多个足球在球场内，本数据集包括用于球检测的注释图像数据；来源德甲比赛；2957张YOLOv5格式的图像 足球场内足球自动检测数据集，用于检测在比赛中是否有多个足球在球场内，本数据集包括用于球检测的注释图像数据；来源德甲比赛；2957张YOLOv5格式的图像

用matlab根据Hough变换和SVM做足球场地图像禁区检测, 这个是工程文件，内有程序运行步骤和说明文档 程序文档摘要 实现函数：function [mean]=acquiremean(w) 实现功能：计算并返回输入图像主色值。 实现函数：function Q=maincolour(I) 实现功能：计算并返回输入图像主色率 实现函数:function Q=yuchuli(I) 实现功能:提取禁区候选图中场地区域 实现函数:function lines=line_extract(I_ORG) 实现功能:对输入真彩图像进行直线提取 训练SVM [xsup_si,w_si,w0_si,pos_si,tps_si,alpha_si] = svmclass(Xapp,yapp,C,lambda,kernel,kerneloption,1); 测试 [Xtest]=normalizemeanstd(Xtest); xpred = svmval(Xtest,xsup_si,w_si,w0_si,kernel,kerneloption,1);

clear all close all clc % straight line 1 of the athletic track x1=-10:0.2:10; y1=0*x1+5; % semi-circle 1 of the athletic track theta=pi/2:-0.04:-pi/2; x2=5*cos(theta)+10; y2=5*sin(theta); % straight line 2 of the athletic track x3=10:-0.2:-10; y3=0*x3-5; % semi-circle 2 of the athletic track theta=3*pi/2:-0.04:pi/2; x4=5*cos(theta)-10; y4=5*sin(theta); % Include straight lines and semi-circles to get an entire athletic track x=[x1 x2 x3 x4]; y=[y1 y2 y3 y4]; % Two cycles of the athletic track x=[x x]; y=[y y]; % plot the athletic track plot(x,y) axis([-16,16,-6,6]) axis equal hold on for i=1:length(x) k1=fix(1.1*i); % define velocity of the 1st player (uniform velocity) if k1>length(x) k1=length(x); end h1=plot(x(k1),y(k1),'Color',[1 0 0],'Marker','o','LineWidth',5); % show location of the 1st player k2=fix(1+5*i^(0.76)); % define velocity of the 2nd player (faster at the beginning, then slower) if k2>length(x) k2=length(x); end h2=plot(x(k2),y(k2),'Color',[k2/length(x) 0 k2/length(x)],'Marker','s','LineWidth',5); % show location of the 2nd player

足球场标准尺寸.pdf