Advanced CORBA programming with C++
Advanced CORBA programming with C++
A Multi-Agent Framework for Visual Surveillance
ICIAP '99 Proceedings of the 10th International Conference on Image Analysis and Processing
MOM-G: Message-Oriented Middleware on Grid Environment Based on OGSA
ICCNMC '03 Proceedings of the 2003 International Conference on Computer Networks and Mobile Computing
High-Speed videography using a dense camera array
CVPR'04 Proceedings of the 2004 IEEE computer society conference on Computer vision and pattern recognition
What image information is important in silhouette-based gait recognition?
CVPR'04 Proceedings of the 2004 IEEE computer society conference on Computer vision and pattern recognition
On automated model-based extraction and analysis of gait
FGR' 04 Proceedings of the Sixth IEEE international conference on Automatic face and gesture recognition
A self-reconfigurable camera array
EGSR'04 Proceedings of the Fifteenth Eurographics conference on Rendering Techniques
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This paper describes a lightweight middleware agent framework (LAF) for coordinating a large array of computers with attached cameras to construct high resolution video-rate image sequences. Compared to existing camera middleware, LAF provides more than a remote sensor access API. The use of an agent framework allows reconfigurable and transparent access to cameras, as well as software agents capable of intelligent processing. It also eases maintenance by encouraging code reuse. Other features include an automatic discovery mechanism at startup, and multiple language bindings. Performance tests showed the lightweight nature of the framework while validating its correctness and scalability. Two different camera agents were implemented to provide access to a large array of distributed cameras. Correct operation of these camera agents was confirmed via several image processing agents.