Title :
Where am I? Scene Recognition for Mobile Robots using Audio Features
Author :
Selina Chu;Shrikanth Narayanan;C.-c. Jay Kuo;Maja J. Mataric
Author_Institution :
Department of Computer Science, University of Southern California, Los Angeles, CA 90089, USA. E-mail: selinach@sipi.usc.edu
fDate :
7/1/2006 12:00:00 AM
Abstract :
Automatic recognition of unstructured environments is an important problem for mobile robots. We focus on using audio features to recognize different auditory environments, where they are characterized by different types of sounds. The use of audio information provides a complementary means of scene recognition that can effectively augment visual information. In particular, audio can be used toward both the analysis and characterization of the environment at a higher level of abstraction. We begin our investigation of recognizing different auditory environments with the audio information. In this paper, we utilize low-level audio features from a mobile robot and investigate using high-level features based on spectral analysis for scene characterization, and a recognition system was built to discriminate between different environments based on these audio features found
Keywords :
"Layout","Mobile robots","Navigation","Robot sensing systems","Character recognition","Robot vision systems","Robotics and automation","Speech analysis","Computer science","Spectral analysis"
Conference_Titel :
Multimedia and Expo, 2006 IEEE International Conference on
Print_ISBN :
1-4244-0366-7
Electronic_ISBN :
1945-788X
DOI :
10.1109/ICME.2006.262661