NDLI: Simple auditory and visual features for human-robot dialog scene analysis

Content Provider	IEEE Xplore Digital Library
Author	Rujiao Yan Rodemann, T. Wrede, B.
Copyright Year	2012
Description	Author affiliation: Honda Research Institute Europe GmbH, Carl-Legien-Str. 30, 63073 Offenbach, Germany (Rodemann, T.) \|\| Research Institute for Cognition and Robotics (CoRLab), Bielefeld University, 33594, Germany (Rujiao Yan; Wrede, B.)
Abstract	This paper presents a system that uses various simple auditory and visual features to achieve human-robot dialog scene analysis. Our scene analysis system is able to learn how many speakers are in the scenario, where the speakers are and who is currently speaking. Speakers are unknown in advance. A visual short-term-memory (STM) helps to memorize persons, even if they disappear from the camera's field of view for a while due to movements of persons or the robot head. In comparison to our previous work, we apply more visual features such as height, color and texture features of different upper body parts, to improve the scene representation performance. We show that our system is able to assign words to corresponding speakers. A speaker is recognized again when he leaves and enters the scene, or changes his position even with a newly appearing person.
Starting Page	700
Ending Page	706
File Size	735582
Page Count	7
File Format	PDF
ISBN	9781467317375
ISSN	21530858
e-ISBN	9781467317368
DOI	10.1109/IROS.2012.6385534
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-10-07
Publisher Place	Portugal
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Visualization Robots Hair Face Vectors Cameras Image analysis
Content Type	Text
Resource Type	Article
Subject	Control and Systems Engineering Computer Science Applications Computer Vision and Pattern Recognition Software

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