Abstract
Robust people detection and localization is a prerequisite for many applications where service robots interact with humans. Future robots will not be stand-alone any more but will operate in smart environments that are equipped with sensor systems for context awareness and activity recognition. This paper describes a probabilistic framework for the fusion of data from a laser range finder on a mobile robot and an overhead camera fixed in a domestic environment. The contribution of the framework is that it enables seamless integration with other sensors. For tracking multiple people it is possible to use a probabilistic particle filter tracker. We show that the fusion improves the results of the individual subsystems.
Original language | English |
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Title of host publication | Human Behavior Understanding |
Subtitle of host publication | Third Workshop, HBU 2012, Vilamoura, Portugal, October 7, 2012, Proceedings |
Editors | Albert Ali Salah |
Place of Publication | Berlin, Heidelberg |
Publisher | Springer |
Pages | 41-51 |
Number of pages | 11 |
ISBN (Electronic) | 978-3-642-34014-7 |
ISBN (Print) | 978-3-642-34013-0 |
DOIs | |
Publication status | Published - 2012 |
Externally published | Yes |
Event | 3rd International Workshop on Human Behavior Understanding, HBU 2012 - Vilamoura, Portugal, Vilamoura, Portugal Duration: 7 Oct 2012 → 7 Oct 2012 Conference number: 3 |
Publication series
Name | Lecture Notes in Computer Science |
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Publisher | Springer |
Volume | 7559 |
ISSN (Print) | 0302-9743 |
ISSN (Electronic) | 1611-3349 |
Workshop
Workshop | 3rd International Workshop on Human Behavior Understanding, HBU 2012 |
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Abbreviated title | HBU 2012 |
Country/Territory | Portugal |
City | Vilamoura |
Period | 7/10/12 → 7/10/12 |
Other | 7 October 2012 |
Keywords
- n/a OA procedure