Towards A Real Time Road Moving Object Detection And Tracking System

Road moving object detection and tracking present an important role for highway traffic surveillance control management and traffic planning. In this work, we propose a new application in an Advanced Driver Assistance System (A.D.A.S) in order to participate in the reduction of the significant number of road accidents. Road moving object detection and tracking in a traffic video is a difficult task. Hence, in this work we present a new system in order to monitor the outside car risks by detecting and tracking of different road moving objects. This developed system is based on computer vision techniques. The system aims to solve this problem by using Haar like features and Background Subtraction technique. Experimental results indicate that the suggested method of moving object detection can be achieved with a high detection ratio.