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Kalman Filters for Audio-Video Source Localization
https://isl.anthropomatik.kit.edu/pdf/Gehrig2007.pdf
This is done by updating a Kalman filter sequentially with audio features and video features much like described in [Wel96, WB97], instead of updating the Kalman filter with explicit position estimates made by the individual sensors [SSR01]. Another thing is that audio source localization is often done by using some closed-
(PDF) Kalman filters for audio-video source localization
https://www.researchgate.net/publication/4192887_Kalman_filters_for_audio-video_source_localization
Kalman filters for audio-video source localization. November 2005; DOI:10.1109 ... we proposed using an extended Kalman filter to directly update position estimates in a speaker localization ...
CiteSeerX — Kalman filters for audio–video source …
https://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.324.9761
kalman filter audio video source localization audio localizer robust source localizer video information extended kalman filter time delay conventional closed-form approximation method video feature explicit triangulation data set consisting update position estimate prior work detected face position different camera view speaker localization …
Interactive Systems Laboratories Kalman Filters for Audio ...
https://citeseer.ist.psu.edu/viewdoc/summary?doi=10.1.1.332.163
BibTeX @MISC{(th_interactivesystems, author = {Universität Karlsruhe (th and Theoretische Informatik and Verantwortlicher Betreuer (prof and Betreuende Mitarbeiter and Prof Alex Waibel and Dr. John Mcdonough}, title = {Interactive Systems Laboratories Kalman Filters for Audio-Video Source Localization Tobias}, year = {}}
Kalman Filters for Time Delay of Arrival-Based Source ...
https://isl.anthropomatik.kit.edu/downloads/ulrich_klee.pdf
rithm for combined audio-video source localization based on a particle filter [9]. To see more clearly how this approach can be implemented, we briefly review a variation of the Kalman filter in Section 3. 3. Iterated Extended Kalman Filter Let x(t) denote the state of a Kalman filter at time t, and let y(t)denote the associated observation.
Kalman Filters for Time Delay of Arrival-Based Source ...
http://mlsp.cs.cmu.edu/people/johnmcd/docs/acoustic-localization.pdf
new position estimate comes directly from the update formulae of the Kalman filter. It is worth noting that similar approaches have been proposed by Gan-not et al [8] for an acoustic source localizer, as well as by Duraiswami et al for a combined audio-video source localization algorithm based on a particle filter [9].
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