Pedestrian flow counter using image processing
Kartik Madhira, Aditya Shukla · 2017
This paper describes a People Counting System based on Image processing techniques to count human traffic at various places like retail shops, malls, ATMs etc. The module was made using an WiFi stream from an overhead IP(Internet Protocol) CCTV camera and processed through OpenCV library in Python. The live video feed is taken frame by frame to process and morphological operations were applied to each frame to get rid of noises and get proper blobs. Next, using contours method we extract the co-ordinates of each blob and track them so that the blob can be counted in a region of frame. The accuracy of the counting depends on a number of factor such as height of camera, field of vision, camera angle, lighting etc. of which we try to discuss in this paper.