Person Detection In Image | AI Computer Vision | MATLAB

Описание: Pedestrian detection is an essential and significant task in any intelligent video surveillance system, as it provides the fundamental information for semantic understanding of the video footages.
Apart from counting pedestrians along a path or crosswalk , the real-time detection of humans is useful in:
Analyzing shopper behavior or dwell time.
Home security cameras detecting visitors or intruders etc.

It is emerging as a significant trend with data scientists and across widespread industries.



HOG(Histogram of Oriented Gradients) as Feature Extraction Technique & training SVM (Support Vector Machine) using the extracted HOG features does the job brilliantly.

Prerequisite:
Digit recognition using MATLAB (Support Vector Machine + HOG)
   • Digit recognition using MATLAB (Support Ve...  
Insert Object Annotation in Image Processing Project (Skin Segmentation)
   • Insert Object Annotation in Image Processi...  
Extract histogram of oriented gradients (HOG) features:
https://www.mathworks.com/help/vision...
Documentation link of vision.PeopleDetector:
https://www.mathworks.com/help/vision...

Code:
clc
clear all
close all
warning off
x=imread('P.JPG');
imshow(x);
peopleDetector=vision.PeopleDetector;
[bboxes,score]=peopleDetector(x);
if(sum(sum(bboxes))~=0)
I=insertObjectAnnotation(x,'rectangle',bboxes,score);
imshow(I);
title('Detected People and detection scores');
else
imshow(x);
title('No People Detected');
end

Learn Complete Machine Learning & Data Science using MATLAB:
   • Data Science & Machine Learning using MATLAB  

Learn Digital Signal Processing using MATLAB:
   • Digital Signal Processing Matlab  

Learn Complete Image Processing & Computer Vision using MATLAB:
   • Digital Image Processing using MATLAB  

🙏🙏🙏🙏🙏🙏🙏🙏
YOU JUST NEED TO DO
3 THINGS to support my channel
LIKE
SHARE
&
SUBSCRIBE
TO MY YOUTUBE CHANNEL

#ComputerVision #MachineLearning #MATLAB #DataScience