DocumentCode :
2292962
Title :
Integrated vision and sound localization
Author :
Arabi, P. ; Zaky, Safwat
Author_Institution :
Dept. of Electr. & Comput. Eng., Toronto Univ., Ont., Canada
Volume :
2
fYear :
2000
fDate :
10-13 July 2000
Abstract :
This paper illustrates the synergic advantages of a multi-modal object localization system utilizing vision and sound localization. Prototype vision and sound localization systems were developed and integrated using spatial probability maps, which allow any number of cameras or microphones with arbitrary orientation to be easily integrated. Test results show a significant improvement in the integrated vision and sound localization (IVSL) system´s ability to accurately localize objects in low signal to noise situations. Furthermore, the performance of the IVSL system was shown to surpass that of the individual sub-systems.
Keywords :
computer vision; microphones; sensor fusion; data integration; fusion; integrated vision and sound localization; localization; microphone arrays; multi-modal object localization system; sound localization; vision; Acoustic noise; Biological systems; Cameras; Educational institutions; Image segmentation; Machine vision; Microphone arrays; Noise robustness; Pixel; Prototypes;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Fusion, 2000. FUSION 2000. Proceedings of the Third International Conference on
Conference_Location :
Paris, France
Print_ISBN :
2-7257-0000-0
Type :
conf
DOI :
10.1109/IFIC.2000.859879
Filename :
859879
Link To Document :
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