add header

recognition/activity_recognition.m

@@ -1,3 +1,19 @@
+%     KCC: Kernel Cross-Correlator
+%     Activity Recognition Using KCC
+%
+%     Copyright (C) 2017 Wang Chen [email protected]
+%     Nanyang Technological University
+%     This program is free software: you can redistribute it and/or modify
+%     it under the terms of the GNU General Public License as published by
+%     the Free Software Foundation, either version 3 of the License, or
+%     (at your option) any later version.
+%     This program is distributed in the hope that it will be useful,
+%     but WITHOUT ANY WARRANTY; without even the implied warranty of
+%     MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
+%     GNU General Public License for more details.
+%     You should have received a copy of the GNU General Public License
+%     along with this program.  If not, see <http://www.gnu.org/licenses/>.
+
 function results = activity_recognition(lambda, sigma)
     close all
     load('data.mat');

recognition/analyse_parameters.m

@@ -1,3 +1,20 @@
+%     KCC: Kernel Cross-Correlator
+%     Activity Recognition Using KCC
+%
+%     Copyright (C) 2017 Wang Chen [email protected]
+%     Nanyang Technological University
+%     This program is free software: you can redistribute it and/or modify
+%     it under the terms of the GNU General Public License as published by
+%     the Free Software Foundation, either version 3 of the License, or
+%     (at your option) any later version.
+%     This program is distributed in the hope that it will be useful,
+%     but WITHOUT ANY WARRANTY; without even the implied warranty of
+%     MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
+%     GNU General Public License for more details.
+%     You should have received a copy of the GNU General Public License
+%     along with this program.  If not, see <http://www.gnu.org/licenses/>.
+
+
 % clc
 % clear
 load('performances_refine_refin.mat');

recognition/data_conversion.m

@@ -1,3 +1,20 @@
+%     KCC: Kernel Cross-Correlator
+%     Activity Recognition Using KCC
+%
+%     Copyright (C) 2017 Wang Chen [email protected]
+%     Nanyang Technological University
+%     This program is free software: you can redistribute it and/or modify
+%     it under the terms of the GNU General Public License as published by
+%     the Free Software Foundation, either version 3 of the License, or
+%     (at your option) any later version.
+%     This program is distributed in the hope that it will be useful,
+%     but WITHOUT ANY WARRANTY; without even the implied warranty of
+%     MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
+%     GNU General Public License for more details.
+%     You should have received a copy of the GNU General Public License
+%     along with this program.  If not, see <http://www.gnu.org/licenses/>.
+
+
 clear; clc
 % You need to download the WARD dataset to current folder.
 % 

recognition/find_parameter.m

@@ -1,3 +1,20 @@
+%     KCC: Kernel Cross-Correlator
+%     Activity Recognition Using KCC
+%
+%     Copyright (C) 2017 Wang Chen [email protected]
+%     Nanyang Technological University
+%     This program is free software: you can redistribute it and/or modify
+%     it under the terms of the GNU General Public License as published by
+%     the Free Software Foundation, either version 3 of the License, or
+%     (at your option) any later version.
+%     This program is distributed in the hope that it will be useful,
+%     but WITHOUT ANY WARRANTY; without even the implied warranty of
+%     MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
+%     GNU General Public License for more details.
+%     You should have received a copy of the GNU General Public License
+%     along with this program.  If not, see <http://www.gnu.org/licenses/>.
+
+
 clc
 clear
 lambda = 0.0014:0.0001:0.0020;

recognition/gaussian_kernel.m

@@ -1,3 +1,20 @@
+%     KCC: Kernel Cross-Correlator
+%     Activity Recognition Using KCC
+%
+%     Copyright (C) 2017 Wang Chen [email protected]
+%     Nanyang Technological University
+%     This program is free software: you can redistribute it and/or modify
+%     it under the terms of the GNU General Public License as published by
+%     the Free Software Foundation, either version 3 of the License, or
+%     (at your option) any later version.
+%     This program is distributed in the hope that it will be useful,
+%     but WITHOUT ANY WARRANTY; without even the implied warranty of
+%     MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
+%     GNU General Public License for more details.
+%     You should have received a copy of the GNU General Public License
+%     along with this program.  If not, see <http://www.gnu.org/licenses/>.
+
+
 function kf = gaussian_kernel(xf, yf, sigma)
 	% Calculating the gaussian kernel vertor
     % Copyright Wang Chen, Nanyang Technoglogical University

recognition/kcc.m

@@ -1,3 +1,19 @@
+%     KCC: Kernel Cross-Correlator
+%     Activity Recognition Using KCC
+%
+%     Copyright (C) 2017 Wang Chen [email protected]
+%     Nanyang Technological University
+%     This program is free software: you can redistribute it and/or modify
+%     it under the terms of the GNU General Public License as published by
+%     the Free Software Foundation, either version 3 of the License, or
+%     (at your option) any later version.
+%     This program is distributed in the hope that it will be useful,
+%     but WITHOUT ANY WARRANTY; without even the implied warranty of
+%     MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
+%     GNU General Public License for more details.
+%     You should have received a copy of the GNU General Public License
+%     along with this program.  If not, see <http://www.gnu.org/licenses/>.
+
 function [response, output] = kcc(test, correlator)
 	% Calculating the response
     % Copyright Wang Chen, Nanyang Technoglogical University

recognition/kcc_train.m

@@ -1,3 +1,20 @@
+%     KCC: Kernel Cross-Correlator
+%     Activity Recognition Using KCC
+%
+%     Copyright (C) 2017 Wang Chen [email protected]
+%     Nanyang Technological University
+%     This program is free software: you can redistribute it and/or modify
+%     it under the terms of the GNU General Public License as published by
+%     the Free Software Foundation, either version 3 of the License, or
+%     (at your option) any later version.
+%     This program is distributed in the hope that it will be useful,
+%     but WITHOUT ANY WARRANTY; without even the implied warranty of
+%     MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
+%     GNU General Public License for more details.
+%     You should have received a copy of the GNU General Public License
+%     along with this program.  If not, see <http://www.gnu.org/licenses/>.
+
+
 function correlator = kcc_train(sample, lambda, sigma)
 	% Training the correlator based on one sample
     % Copyright Wang Chen, Nanyang Technoglogical University

recognition/run_me.m

@@ -1,3 +1,18 @@
+%     KCC: Kernel Cross-Correlator
+%     Activity Recognition Using KCC
+%
+%     Copyright (C) 2017 Wang Chen [email protected]
+%     Nanyang Technological University
+%     This program is free software: you can redistribute it and/or modify
+%     it under the terms of the GNU General Public License as published by
+%     the Free Software Foundation, either version 3 of the License, or
+%     (at your option) any later version.
+%     This program is distributed in the hope that it will be useful,
+%     but WITHOUT ANY WARRANTY; without even the implied warranty of
+%     MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
+%     GNU General Public License for more details.
+%     You should have received a copy of the GNU General Public License
+%     along with this program.  If not, see <http://www.gnu.org/licenses/>.
 
 data_conversion; % convert database to compatible format
 

recognition/show_example.m

@@ -1,3 +1,20 @@
+%     KCC: Kernel Cross-Correlator
+%     Activity Recognition Using KCC
+%
+%     Copyright (C) 2017 Wang Chen [email protected]
+%     Nanyang Technological University
+%     This program is free software: you can redistribute it and/or modify
+%     it under the terms of the GNU General Public License as published by
+%     the Free Software Foundation, either version 3 of the License, or
+%     (at your option) any later version.
+%     This program is distributed in the hope that it will be useful,
+%     but WITHOUT ANY WARRANTY; without even the implied warranty of
+%     MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
+%     GNU General Public License for more details.
+%     You should have received a copy of the GNU General Public License
+%     along with this program.  If not, see <http://www.gnu.org/licenses/>.
+
+
 load('data.mat');
 %% show
 sequence = 100:200;

recognition/show_results.m

@@ -1,3 +1,20 @@
+%     KCC: Kernel Cross-Correlator
+%     Activity Recognition Using KCC
+%
+%     Copyright (C) 2017 Wang Chen [email protected]
+%     Nanyang Technological University
+%     This program is free software: you can redistribute it and/or modify
+%     it under the terms of the GNU General Public License as published by
+%     the Free Software Foundation, either version 3 of the License, or
+%     (at your option) any later version.
+%     This program is distributed in the hope that it will be useful,
+%     but WITHOUT ANY WARRANTY; without even the implied warranty of
+%     MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
+%     GNU General Public License for more details.
+%     You should have received a copy of the GNU General Public License
+%     along with this program.  If not, see <http://www.gnu.org/licenses/>.
+
+
 function [accuracy_kcc, accuracy_dtw] = show_results(filename)
     addpath('matrix2latex')
     if nargin < 1