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 [BibTeX] [Marc21]
The DIRAC AWEAR Audio-Visual Platform for Detection of Unexpected and Incongruent Events
Type of publication: Idiap-RR
Citation: Anemueller_Idiap-RR-41-2010
Number: Idiap-RR-41-2010
Year: 2010
Month: 11
Institution: Idiap
Abstract: It is of prime importance in everyday human life to cope with and respond appropriately to events that are not foreseen by prior experience. Machines to a large extent lack the ability to respond appropriately to such inputs. An important class of unexpected events is defined by incongruent combinations of inputs from different modalities and therefore multimodal information provides a crucial cue for the identification of such events, e.g., the sound of a voice is being heard while the person in the fieldof- view does not move her lips. In the project DIRAC (“Detection and Identification of Rare Audio-visual Cues”) we have been developing algorithmic approaches to the detection of such events, as well as an experimental hardware platform to test it. An audio-visual platform (“AWEAR” – audio-visual wearable device) has been constructed with the goal to help users with disabilities or a high cognitive load to deal with unexpected events. Key hardware components include stereo panoramic vision sensors and 6-channel worn-behind-the-ear (hearing aid) microphone arrays. Data have been recorded to study audio-visual tracking, a/v scene/object classification and a/v detection of incongruencies.
Projects Idiap
Authors Anemueller, Joern
Back, Joerg-Henrik
Caputo, Barbara
havlena, michal
Luo, Jie
Kayser, Hendrik
Leibe, Bastian
Motlicek, Petr
Pajdla, Tomas
Pavel, Misha
Torii, Akihiko
Gool, Luc Van
Hermansky, Hynek
Zweig, Alon
Crossref by Anemueller_ICMI2008_2008
Added by: [ADM]
Total mark: 0
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