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Multimodal observation systems
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International Multimedia Conference archive
Proceeding of the 16th ACM international conference on Multimedia table of contents
Vancouver, British Columbia, Canada
SESSION: Applications track short papers session 2 table of contents
Pages 933-936  
Year of Publication: 2008
ISBN:978-1-60558-303-7
Authors
Mukesh K. Saini  National Univ. of Singapore, Singapore, Singapore
Vivek K. Singh  University of California Irvine, Irvine, CA, USA
Ramesh C. Jain  University of California Irvine, Irvine, CA, USA
Mohan S. Kankanhalli  National Univ. of Singapore, Singapore, USA
Sponsors
ACM: Association for Computing Machinery
SIGMULTIMEDIA: ACM Special Interest Group on Multimedia
Publisher
ACM  New York, NY, USA
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ABSTRACT

In recent years, we have seen a significant research interest in a number of multimodal sensing applications like surveillance, video ethnography, tele-presence, assisted living, life blogging etc. However, these applications are currently evolving as separate silos with no interconnection. Further, the individual application-centric architectures typically tend to focus on specific sensors, specific (hardwired) queries and deal with specific environments. We present a generic sensing architecture 'Observation System', which allows multiple users to undertake different applications through abstracted interaction with a common set of sensors. The observation system observes behavior of various objects in an environment and keeps a record of important events and activities in an eventbase. In this system, multifarious data collected from disparate sensors and other sources are correlated to understand and gain insights in the environment. The observation system has applications in many areas including but not limited to surveillance, traffic monitoring, ethnography, marketing, and healthcare. In this paper, we present the architecture and functionality of such a system and present details of activity detection using multiple sensor streams in a distributed sensing environment. We also present results of such an approach and potential extensions to the analysis of more complex activities and events.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
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Collaborative Colleagues:
Mukesh K. Saini: colleagues
Vivek K. Singh: colleagues
Ramesh C. Jain: colleagues
Mohan S. Kankanhalli: colleagues