Human-detection github

1. What is human detection?
2. What is human detection and counting?
3. What is the best algorithm for object detection?

What is human detection?

Human detection is the task of locating all instances of human beings present in an image, and it has been most widely accomplished by searching all locations in the image, at all possible scales, and comparing a small area at each location with known templates or patterns of people.

What is human detection and counting?

Abstract – This research work is aimed at design and implementation of a human detector and counting system using MATLAB. Human detection systems are used to give a measure of the number of people in a given area in a given time.

What is the best algorithm for object detection?

Most Popular Object Detection Algorithms. Popular algorithms used to perform object detection include convolutional neural networks (R-CNN, Region-Based Convolutional Neural Networks), Fast R-CNN, and YOLO (You Only Look Once). The R-CNN's are in the R-CNN family, while YOLO is part of the single-shot detector family.