Title :
Sensing of Traffic Flow in Real-World for Reconstruction in VR
Author :
Guo Tian ; Akashi, T.
Author_Institution :
Iwate Univ., Iwate, Japan
Abstract :
Summary form only given. To make Virtual Reality (VR) world closer to reality, it is necessary to acquire much information from the real-world. Especially for simulation of transportation, it is important for VR world to obtain traffic flow in reality. This paper describes an application to compute traffic flow through a sequence of images captured with video camera. In this search, camera is not set above the roadway but beside the roadway.
Keywords :
computer vision; image sequences; road traffic; virtual reality; VR; camera; computer vision; image sequence; traffic flow sensing; transportation simulation; virtual reality; Cameras; Computational modeling; Educational institutions; Object detection; Solid modeling; Surveillance; Vehicles; Bayes theory; computer vision; traffic flow;
Conference_Titel :
Cyberworlds (CW), 2013 International Conference on
Conference_Location :
Yokohama
Print_ISBN :
978-1-4799-2245-1
