| Paper: | SAM-L2.6 | ||
| Session: | Microphone Array Processing | ||
| Time: | Wednesday, May 17, 18:10 - 18:30 | ||
| Presentation: | Lecture | ||
| Topic: | Sensor Array and Multichannel Signal Processing: Source localization, separation, classification, and tracking | ||
| Title: | Particle Filtering Approach to Localization and Tracking of a Moving Acoustic Source in a Reverberant Room | ||
| Authors: | C. E. Chen, H. Wang, A. Ali, F. Lorenzelli, R. E. Hudson, K. Yao, University of California, Los Angeles, United States | ||
| Abstract: | We propose a novel algorithm employing particle filters for acoustic source tracking in reverberant environment. By incorporating the likelihood function computed through Approximate Maximum-Likelihood (AML) method, the proposed algorithm is applicable to wideband sources and can be implemented for multiple sources tracking. Both computer simulation and experimental results show the effectiveness of our algorithm. | ||
©2018 Conference Management Services, Inc. -||- email: webmaster@icassp2006.org -||- Last updated Friday, August 17, 2012