A Language for Content-Based Video Retrieval
Multimedia Tools and Applications
ETP '03 Proceedings of the 2003 ACM SIGMM workshop on Experiential telepresence
Video Blogging: Content to the Max
IEEE MultiMedia
ICDEW '06 Proceedings of the 22nd International Conference on Data Engineering Workshops
Multi-modal emotive computing in a smart house environment
Pervasive and Mobile Computing
MIS'05 Proceedings of the 11th international conference on Advances in Multimedia Information Systems
Towards Environment-to-Environment (E2E) multimedia communication systems
Multimedia Tools and Applications
A hierarchical model for representation of events in multimedia observation systems
EiMM '09 Proceedings of the 1st ACM international workshop on Events in multimedia
A Flexible Surveillance System Architecture
AVSS '09 Proceedings of the 2009 Sixth IEEE International Conference on Advanced Video and Signal Based Surveillance
Context-Based Multimedia Sensor Selection Method
AVSS '09 Proceedings of the 2009 Sixth IEEE International Conference on Advanced Video and Signal Based Surveillance
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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.