Head and people detection in opencv
LBP cascade free to download to use in opencv to detect people and heads. Code example and cascade description. All you need to write your own people head detector from the youtube video.
Cascade is trained on my own people and head datasets. There are no perfect but in some cases are better then default opencv cascades. They are just different.. For example, you can count that the head detector have much more false detection than the people detector.. The shape and feature space is much more common and close to others shapes than the whole people detector.
Issues with opencv detectMultiScale head and people detector
Please let me know if the cascades worked as expected.. In code example there is ground threshold settings and reccomentation.
LBP cascade head detection properties
Sure you can find it inside the file.
<!--
This is just basic 16 stage lbp cascade head detector develop by
V.K. from https://funvision.blogspot.com
-->
<?xml version="1.0"?>
<opencv_storage>
<cascade>
<stageType>BOOST</stageType>
<featureType>LBP</featureType>
<height>38</height>
<width>38</width>
<stageParams>
<boostType>GAB</boostType>
<minHitRate>9.9999994039535522e-01</minHitRate>
<maxFalseAlarm>6.0000002384185791e-01</maxFalseAlarm>
<weightTrimRate>9.4999999999999996e-01</weightTrimRate>
<maxDepth>25</maxDepth>
<maxWeakCount>60</maxWeakCount></stageParams>
<featureParams>
<maxCatCount>256</maxCatCount>
<featSize>1</featSize></featureParams>
<stageNum>16</stageNum>
<stages>
New LBP cascade people detection properties
<!--
This is just a basic 10-stage LBP cascade head detector developed by
V.K. from https://funvision.blogspot.com
-->
<?xml version="1.0"?>
<opencv_storage>
<cascade>
<stageType>BOOST</stageType>
<featureType>LBP</featureType>
<height>64</height>
<width>32</width>
<stageParams>
<boostType>GAB</boostType>
<minHitRate>9.9999499320983887e-01</minHitRate>
<maxFalseAlarm>3.0000001192092896e-01</maxFalseAlarm>
<weightTrimRate>9.4999999999999996e-01</weightTrimRate>
<maxDepth>20</maxDepth>
<maxWeakCount>80</maxWeakCount></stageParams>
<featureParams>
<maxCatCount>256</maxCatCount>
<featSize>1</featSize></featureParams>
<stageNum>10</stageNum>
<stages>
Opencv cascade for car detection conditions of use
Also, Do not worry about the condition of use. Use only at your own risk. That's it. The dataset to train this cascade is only mine. I also collect positive and negative data. I just want to say, that there is also no conditions based on the datasets. There is no other conditions of use. Maybe check the Opencv train cascade utility. Thanks. Yes, share and cite. Just small minimal conditions like send me a million dollars. It's up to you.
Head cascade and people cascade download link.
Head detection download link
People detection download link
Head and people detection tutorial code
This code is based on my previous tutorial 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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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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