Raspberry Pi based Real Time People Detection, Trackingand Counting System

In present days, people detection, tracking and counting is an important aspect in the video investigation and subjectin demand in Computer Vision systems. For many applications it is necessary to identify people and then accurately count the number of people in the real time. To perform the people counting, a robust system for people Detection and Tracking is needed. This paper mainly discusses the detection, tracking and counting of people in real time with images captured from a stationary camera.This method uses a Background Subtraction technique for people detection and Kalman Filtering Algorithm for tracking. The present work describes a standalone people counting gadget designed using Raspberry Pi2, asingle Board visiting card size computer. MATLAB Simulink computer vision system and Simulink support package for raspberry pi hardware toolboxes are used in rapid prototyping the design.