i have face recognition problem in video

hello i am doin proj on face recognition in videos ..but i am facing problem when an unknown person comes it identifies as a known person from data base.

Answer 1

[Image Analyst]

Well, keep adding more features until it works. (Not sure if you have a question, but you didn't ask one.)

[omar A.alghafoor]

Hi Mathworks team .

I am having two problems distinguishing faces using (face recognition convolutional neural network)

First: How to detect the intruder.

Second: The facial recognition overlaps between one person and another in the system.

The first test on grayscale images was good recognition, but on realtime of web camera the results are incorrect, knowing that I use a camera that has accuracy: 1024x570

note : all imge are grayscale .

Where is the defect in the code?

this my code for training dataset:

clc

clearvars

close all

%% variables

trainingNumFiles = 0.8;

rng(1)

faceData = imageDatastore('AutoCapturedFaces','IncludeSubfolders',true,'LabelSource','foldernames');

% Resize the images to the input size of the net

faceData.ReadFcn = @(loc)imresize(imread(loc),[227,227]);

% read one image to get pixel size

img = readimage(faceData,1);

% splitting the testing and training data

[trainFaceData,testFaceData] = splitEachLabel(faceData, ...

trainingNumFiles,'randomize');

%% defining CNN parameters

% defining layers

layers = [imageInputLayer([size(img,1) size(img,2) 1])

%middle layers

convolution2dLayer(5,3,'Padding', 2, 'Stride',3)

reluLayer

maxPooling2dLayer(3,'Stride',3)

%final layers

fullyConnectedLayer(8)

softmaxLayer

classificationLayer()];

% options to train the network

options = trainingOptions('sgdm', ...

'MiniBatchSize', 40, ...

'InitialLearnRate', 1e-4, ...

'MaxEpochs', 25, ...

'LearnRateSchedule', 'piecewise', ...

'LearnRateDropFactor', 0.875, ...

'LearnRateDropPeriod', 12, ...

'VerboseFrequency', 5);

% training the network

convnet = trainNetwork(trainFaceData,layers,options);

%% classifying

YTest = classify(convnet,testFaceData);

TTest = testFaceData.Labels;

%% Calculate the accuracy.

accuracy = sum(YTest == TTest)/numel(TTest)

save convnet

accuracy =

0.9375

https://www.mathworks.com/matlabcentral/answers/774947-face-recognition-convolutional-neural-network?s_tid=prof_contriblnk

Answer 2

[presty]

i am facing problem in face tracking and recognition . can get code for these to system. i am working on camshift for tracking and curvelet transform for recognition using SVM.