gusucode.com > KLT Tracking源码程序matlab > readKLTFeatureList.m
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% % PROJECT: % KLT Tracker % % BY: % Parthipan Siva % Assignment for SD 770-7: Topics in Particle Filtering % Systems Design Engineering % University of Waterloo % % DATE/Version: % Jan. 2007 - V 1.0 % % Description: readKLTFeatureList.m % Will read the feature location and value as outputed by the % KLT tracker code provided on the referenced webpage. % % References: % http://www.ces.clemson.edu/~stb/klt/ % % Project file list: % drawEllipse.m % InsidePolygon.m % kltTrack.m % kltTrackSIMPLE.m % readKLTFeatureList.m % Example1.m % Example2.m %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% % % INPUTS: % fileName - the name of the .txt file containting the feature % list % % OUTPUTS: % PointList - nx4 the feature List for n KLT features % [ID colLoc rowLoc value] %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% function [PointList] = readKLTFeatureList(fileName) fid = fopen(fileName, 'r'); % there are 34 string before the data begins C = textscan(fid, '%s', 34); text = C{:}; % of the 1st 34 string the 30th string is the number of feature points numPoints = str2num(text{30}); % read the number of feature points C2 = textscan(fid, '%f | (%f,%f)=%f',numPoints); % convert the structs to array of double PointList = [C2{1} C2{2} C2{3} C2{4}]; clear C text numPoints C2; fid = fclose(fid);