Paper
26 February 2007 On the use of real-time agents in distributed video analysis systems
B. Lienard, A. Hubaux, C. Carincotte, X. Desurmont, B. Barrie
Author Affiliations +
Proceedings Volume 6496, Real-Time Image Processing 2007; 64960O (2007) https://doi.org/10.1117/12.704384
Event: Electronic Imaging 2007, 2007, San Jose, CA, United States
Abstract
Today's technologies in video analysis use state of the art systems and formalisms like onthologies and datawarehousing to handle huge amount of data generated from low-level descriptors to high-level descriptors. In the IST CARETAKER project we develop a multi-dimensional database with distributed features to add a centric data view of the scene shared between all the sensors of a network. We propose to enhance possibilities of this kind of system by delegating the intelligence to a lot of other entities, also known as "Agents" which are specialized little applications, able to walk across the network and work on dedicated sets of data related to their core domain. In other words, we can reduce, or enhance, the complexity of the analysis by adding or not feature specific agents, and processing is limited to the data concerned by the processing. This article explains how to design and develop an agent oriented systems which can be used by a video analysis datawarehousing. We also describe how this methodology can distribute the intelligence over the system, and how the system can be extended to obtain a self reasoning architecture using cooperative agents. We will demonstrate this approach.
© (2007) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
B. Lienard, A. Hubaux, C. Carincotte, X. Desurmont, and B. Barrie "On the use of real-time agents in distributed video analysis systems", Proc. SPIE 6496, Real-Time Image Processing 2007, 64960O (26 February 2007); https://doi.org/10.1117/12.704384
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CITATIONS
Cited by 3 scholarly publications and 2 patents.
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KEYWORDS
Video

Databases

Received signal strength

Sensors

Image processing

Data storage

RGB color model

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