Please use this identifier to cite or link to this item:
|Title:||Motion estimation using audio and video fusion||Authors:||Loh, A.P.
|Issue Date:||2004||Citation:||Loh, A.P.,Guan, F.,Ge, S.S. (2004). Motion estimation using audio and video fusion. 2004 8th International Conference on Control, Automation, Robotics and Vision (ICARCV) 3 : 1569-1574. ScholarBank@NUS Repository.||Abstract:||In this paper, motion estimation is proposed by fusing audio and video sensor data. The audio system consists of three microphones arranged on a Y-shaped structure, mounted on a pan-tilt camera. The camera forms the video system. Together, the audio and video system enables the 3D position of the sound source to be estimated. Using the position estimates, a motion model, consisting of the translational velocity and acceleration of the source, is in turn estimated using a Kalman Filler. The motion model allows the sound source to be tracked in real time. This fusion estimation system has many potential applications such as video conferencing and security monitoring for intruders. Simulation results show that the motion estimation is satisfactory. © 2004 IEEE.||Source Title:||2004 8th International Conference on Control, Automation, Robotics and Vision (ICARCV)||URI:||http://scholarbank.nus.edu.sg/handle/10635/71019||ISBN:||0780386531|
|Appears in Collections:||Staff Publications|
Show full item record
Files in This Item:
There are no files associated with this item.
checked on Apr 26, 2019
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.