Maximum a posteriori Multimodal 3D Object Localization With a Depth Sensor and Stereo Microphones

Bowon Lee, Kar Han Tan

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

Abstract

We propose an algorithm for multimodal object localization with a depth sensor and stereo microphones. For this we formulate a joint probability distribution of object locations conditioned upon depth and acoustic observations. Then we use the maximum a posteriori estimation for object localization. For multimodal fusion, we map likelihood of acoustic observation given time difference of arrival information to that given object location in a three dimensional space. Our method offers a principled way to fuse information from microphones and depth sensors, and experimentally we find that it reliably locates the object without requiring careful calibration of the sensors.

Original languageEnglish
Title of host publicationIMMERSCOM 2009 - Proceedings of the 2nd International Conference on Immersive Telecommunications
PublisherAssociation for Computing Machinery, Inc
ISBN (Electronic)9789639799394
DOIs
StatePublished - 2009
Externally publishedYes
Event2nd International Conference on Immersive Telecommunications, IMMERSCOM 2009 - Berkeley, United States
Duration: 27 May 200929 May 2009

Publication series

NameIMMERSCOM 2009 - Proceedings of the 2nd International Conference on Immersive Telecommunications

Conference

Conference2nd International Conference on Immersive Telecommunications, IMMERSCOM 2009
Country/TerritoryUnited States
CityBerkeley
Period27/05/0929/05/09

Bibliographical note

Publisher Copyright:
© 2009 ACM. All Rights Reserved.

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