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2014 | OriginalPaper | Chapter

Active Scene Analysis Based on Multi-Sensor Fusion and Mixed Reality on Mobile Systems

Authors : Denis Klimentjew, Sebastian Rockel, Jianwei Zhang

Published in: Foundations and Practical Applications of Cognitive Systems and Information Processing

Publisher: Springer Berlin Heidelberg

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Abstract

The approach presented shows possible ways of improving scene analysis to achieve more reliable and accurate object recognition in the context of mobile robotics. The centralized architecture combines different feature detectors with active modalities, such as change of perspective or influencing the scene. It opens possibilities for the use of 2D detectors and extends the results to 3D. In combination with mixed reality, it offers the possibility of evaluation of the developed system as well as increased efficiency. The architecture developed and the preliminary results are presented. The work goes a step in the direction of active intelligent perception.

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previous chapter Development of an Intelligent Omnivision Surveillance System
next chapter Object Learning with Natural Language in a Distributed Intelligent System: A Case Study of Human-Robot Interaction
Footnotes
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Metadata
Title
Active Scene Analysis Based on Multi-Sensor Fusion and Mixed Reality on Mobile Systems
Authors
Denis Klimentjew
Sebastian Rockel
Jianwei Zhang
Copyright Year
2014
Publisher
Springer Berlin Heidelberg
Book
Foundations and Practical Applications of Cognitive Systems and Information Processing

Print ISBN: 978-3-642-37834-8

Electronic ISBN: 978-3-642-37835-5

Copyright Year: 2014

DOI
https://doi.org/10.1007/978-3-642-37835-5_69

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