LITERATURE SURVEY ON CAR AND PEDESTRIAN TRACKING SYSTEM

Abstract

This project focuses on Car and Pedestrian Tracking System using Python. We are using OpenCV (Computer Vision) and HAAR Cascade Classifier Algorithm (Machine Learning Xml files). Since we are tracking both car and pedestrian using computer vision, we have considered two data sets one for car and one for pedestrian with both positive and negative images. We are using the object detection algorithms i.e. HAAR for this project. Some of the possible application can be Traffic Safety, Human - Robot Interaction, Surveillance Application and Some application in vehicle detection where it aims to provide information assisting vehicle counting, Vehicle speed Measurements, Identification of traffic accidents, Traffic flow prediction, and is also being used in Tesla Industry for their Auto Drive mode.