Error analysis of locating arbitrary sound sources in three dimensional space in real time.

2010 ◽  
Vol 127 (3) ◽  
pp. 1781-1781
Author(s):  
Na Zhu ◽  
Sean F. Wu
Keyword(s):  
Error Analysis ◽  
Real Time ◽  
Dimensional Space ◽  
Three Dimensional ◽  
Sound Sources ◽  
Three Dimensional Space

Real time three-dimensional space video rate sensors for millimeter waves imaging based very inexpensive plasma LED lamps

2014 ◽  
Author(s):  
Assaf Levanon ◽  
Yitzhak Yitzhaky ◽  
Natan S. Kopeika ◽  
Daniel Rozban ◽  
Amir Abramovich
Keyword(s):  
Real Time ◽  
Millimeter Waves ◽  
Dimensional Space ◽  
Three Dimensional ◽  
Three Dimensional Space

SOUND SOURCE LOCALIZATION IN THREE-DIMENSIONAL SPACE IN REAL TIME WITH REDUNDANCY CHECKS

2012 ◽  
Vol 20 (01) ◽  
pp. 1250007 ◽  
Author(s):  
NA ZHU ◽  
SEAN F. WU
Keyword(s):  
Source Localization ◽  
Signal To Noise Ratio ◽  
Dimensional Space ◽  
Broad Band ◽  
Three Dimensional ◽  
Sound Sources ◽  
Detection Range ◽  
Basic Model ◽  
Improved Model ◽  
Three Dimensional Space

Triangulation is commonly used for source localization and most triangulation applications are based on intersection of the bearing direction to locate a source on a two-dimensional plane. In this paper, two new mathematical models (a basic model and an improved one) that expands the traditional triangulation concept to three-dimensional space are developed to locate multiple incoherent sound sources. The basic model uses four microphones and concentrates on solving a set of three quadratic equations simultaneously. The improved model requires more than four microphones and uses the solution from the basic model, as well as analyzing the intersection of bearing angles. Redundancy checks on the time differences of arrival are added to further reduce the source localization error in the improved model. Moreover, the input data are pre-processed and de-noised through filtering and windowing to enhance the effective signal to noise ratio. Various sound sources are tested, including transient, impulsive, continuous, broad-band, and narrow-band sounds. Numerical simulations and experimental validation using the real world sound sources are conducted. The impacts of the source direction/source detection range on the accuracy of source localization results are examined and discussed.

scholarly journals O fly, where art thou?

2008 ◽  
Vol 5 (27) ◽  
pp. 1181-1191 ◽  
Author(s):  
Dhruv Grover ◽  
John Tower ◽  
Simon Tavaré
Keyword(s):  
Kalman Filter ◽  
Real Time ◽  
Dimensional Space ◽  
Three Dimensional ◽  
Visual Hull ◽  
Real Time Image ◽  
Image Acquisition System ◽  
Visual Hulls ◽  
Time Image ◽  
Three Dimensional Space

In this paper, the design of a real-time image acquisition system for tracking the movement of Drosophila in three-dimensional space is presented. The system uses three calibrated and synchronized cameras to detect multiple flies and integrates the detected fly silhouettes to construct the three-dimensional visual hull models of each fly. We used an extended Kalman filter to estimate the state of each fly, given past positions from the reconstructed fly visual hulls. The results show that our approach constructs the three-dimensional visual hull of each fly from the detected image silhouettes and robustly tracks them at real-time rates. The system is suitable for a more detailed analysis of fly behaviour.

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