Audio-visual fusion for sound source localization and improved attention
- Authors
- Lee, B.-G.; Choi, J.; Yoon, S.; Choi, M.-T.; Kim, M.; Kim, D.
- Issue Date
- 2011-07
- Citation
- Transactions of the Korean Society of Mechanical Engineers, A, v.35, no.7, pp.737 - 743
- Abstract
- Service robots are equipped with various sensors such as vision camera, sonar sensor, laser scanner, and microphones. Although these sensors havetheir own functions, some of them can be made to work together and performmore complicated functions. Audiovisual fusion is a typical and powerful combination of audio and video sensors, because audio information is complementary to visual information and vice versa. Human beings also mainly depend on visual and auditory information in their daily life. In this paper, weconduct two studies using audiovision fusion: one is on enhancing the performance of sound localization, and the other is on improving robot attention through sound localization and face detection. ? 2011 The Korean Society of Mechanical Engineers.
- Keywords
- Audio and video; Audio information; Audio-vision fusion; Audio-visual fusion; Complicated functions; Daily lives; Human attention; Human being; Laser scanner; Robot tracking; Service robots; Sonar sensor; Sound localization; Sound source localization; Visual information; Acoustic generators; Face recognition; Nonlinear filtering; Robots; Sensors; Underwater acoustics; Audio acoustics; Audio and video; Audio information; Audio-vision fusion; Audio-visual fusion; Complicated functions; Daily lives; Human attention; Human being; Laser scanner; Robot tracking; Service robots; Sonar sensor; Sound localization; Sound source localization; Visual information; Acoustic generators; Face recognition; Nonlinear filtering; Robots; Sensors; Underwater acoustics; Audio acoustics; Audio-vision fusion; Human attention; Robot tracking; Sound source localization
- ISSN
- 1226-4873
- URI
- https://pubs.kist.re.kr/handle/201004/130243
- DOI
- 10.3795/KSME-A.2011.35.7.737
- Appears in Collections:
- KIST Article > 2011
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