Title :
Passive acoustic source localization for video camera steering
Author :
Huang, Yiteng ; Benesty, Jacob ; Elko, Gary W.
Author_Institution :
Center for Image & Signal Processing, Georgia Inst. of Technol., Atlanta, GA, USA
Abstract :
A multi-input one-step least-squares (OSLS) algorithm for passive source localization is proposed. It is shown that the OSLS algorithm is mathematically equivalent to the so-called spherical interpolation (SI) method but with less computational complexity. The OSLS/SI method uses spherical equations (instead of hyperbolic equations) and solves them in a least-squares sense. Based on the adaptive eigenvalue decomposition time delay estimation method previously proposed by the same authors and the OSLS source localization algorithm, a real-time passive source localization system for video camera steering is presented. The system demonstrates many desirable features such as accuracy, portability, and robustness
Keywords :
acoustic signal processing; adaptive estimation; array signal processing; computational complexity; delay estimation; direction-of-arrival estimation; eigenvalues and eigenfunctions; least squares approximations; position control; telecommunication control; video cameras; OSLS algorithm; OSLS/SI method; adaptive eigenvalue decomposition time delay estimation method; computational complexity; multi-input one-step least-squares algorithm; real-time passive source localization system; spherical equations; spherical interpolation; video camera steering; Acoustic arrays; Cameras; Computational complexity; Delay effects; Delay estimation; Eigenvalues and eigenfunctions; Equations; Microphone arrays; Real time systems; Signal processing algorithms;
Conference_Titel :
Acoustics, Speech, and Signal Processing, 2000. ICASSP '00. Proceedings. 2000 IEEE International Conference on
Conference_Location :
Istanbul
Print_ISBN :
0-7803-6293-4
DOI :
10.1109/ICASSP.2000.859108