Detecting real time object along with the moving direction for visually impaired people

Abstract

Detection of real time moving object along with the moving direction in respect with visually impaired people is a challenging research area. The recent advancement in technology for real world scene capturing and portable devices like Microsoft Kinect necessitate the need of simple, reliable and faster technique for assisting blind navigation. This paper aims to develop a suitable and effective technique for moving object detection along with its moving direction in indoor environment. Depth information of the front scene of a blind people is captured using Microsoft Kinect. Three consecutive depth frames are extracted from video taken in one second and Distance along Line Profile graph is generated for four predefined lines of each depth frame. These line profile graphs are then analyzed for detecting any presence of moving object and its moving direction. After detail investigation, experimental result shows that the proposed method can successfully detect moving object along with its direction with 92% accuracy and still objects detection accuracy rate is 87%. The overall accuracy of the proposed method is 90%.