Head and people detection in opencv
You can find free LBP Cascade download links specifically designed for people and head detection in OpenCV. It’s trained on my own people and head datasets.
The cascades can be used by using the CascadeClassifier in OpenCV, which allows you to detect objects (such as people and heads) in images or video streams.
Keep in mind that no cascade is perfect, but in some cases, this custom LBP cascade might perform better than the default OpenCV cascades. The differences arise from the shape and feature space used for detection. For instance, the head detector may have more false detections compared to the people detector due to the common features shared by various head shapes.
Video example of expected detection results by detectMultiScale
Head cascade and people cascade download link
Head and people detection tutorial code
Update from 2024 opencv installation
You can simply prepare the project inside the Visual Studio 2015 by Nuget Packages. This approach is easy for beginners and better than standard installation with all the environmental variables problems. Just follow the installation steps here
LBP detectMultiScale cascade Opencv code
This code is based on my previous tutorial with more details Fast people detection.
// Name of the downloaded my cascades..
string cascadeHead = "cascadeH5.xml";
string cascadeName = "cascadG.xml";
// Load the cascade
CascadeClassifier detectorBody;
bool loaded1 = detectorBody.load(cascadeName);
CascadeClassifier detectorHead;
bool loaded2 = detectorHead.load(cascadeHead);
// save original make img gray
// draw rectangle back to the original colored sample
Mat original;
img.copyTo(original);
// Prepare vector for results
vector<Rect> human;
vector<Rect> head;
// Prepare gray image
cvtColor(img, img, CV_BGR2GRAY);
// equalize Histogram
equalizeHist(img, img);
// detect body and head in the img
// Set the proper min and max size for your case
detectorBody.detectMultiScale(img, human, 1.04, 4, 0 | 1, Size(30, 80), Size(80,200));
detectorHead.detectMultiScale(img, head, 1.1, 4, 0 | 1, Size(40, 40), Size(100, 100));
if (human.size() > 0) {
for (int gg = 0; gg < human.size(); gg++) {
rectangle(original, human[gg].tl(), human[gg].br(), Scalar(0, 0, 255), 2, 8, 0);
}
}
if (head.size() > 0) {
for (int gg = 0; gg < head.size(); gg++) {
rectangle(original, head[gg].tl(), head[gg].br(), Scalar(0, 0, 255), 2, 8, 0);
}
}
I want code for Real time Face Recognition System using LBP Algorithm code for opencv 3.1 (C++) in Linux.
Contact Details:-
Email:- perrykakkar.1993@gmail.com
Ph. No:- +91-8930228000
Code is same cascade is different.. There is lots of cascade detect faces. I do not spent time to doing training of that detector..
what a nice blog it is!
Can i share the video file??
yunjung.erica@gmail.com
Hi. I'm using the head cascade in my project.
And my question is if the parameters are the same with the face cascade. All this implemented from python. Also, what would be the correct syntax to call the cascade.
Thanks for your help.
Mam can you please provide me the head cascade, i urgently needed, please.Thanks in advance.
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Thanks.
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Do you have implementation in Python? of the same LBP cascade?
I need some suggestions on training data more precisely. can you guide me to train my own cascade in a efficient way.
It would be really helpful for me.
Excellent blog I visit this blog it's really awesome. The important thing is that in this blog content written clearly and understandable. The content of information is very informative.
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