Fundamentals of distributed object systems: the CORBA perspective
Fundamentals of distributed object systems: the CORBA perspective
Challenges designing next-generation middleware systems
Communications of the ACM - Adaptive middleware
Detecting Moving Shadows: Algorithms and Evaluation
IEEE Transactions on Pattern Analysis and Machine Intelligence
Integration of CORBA and object relational databases
Computer Standards & Interfaces - CORBA: protocols, applications, process models and standards
A New Approach to Object-Oriented Middleware
IEEE Internet Computing
MICO: An Open Source CORBA Implementation
IEEE Software
Smart Environments: Technology, Protocols and Applications (Wiley Series on Parallel and Distributed Computing)
Background Subtraction and Shadow Detection in Grayscale Video Sequences
SIBGRAPI '05 Proceedings of the XVIII Brazilian Symposium on Computer Graphics and Image Processing
TRICam - An Embedded Platform for Remote Traffic Surveillance
CVPRW '06 Proceedings of the 2006 Conference on Computer Vision and Pattern Recognition Workshop
A privacy aware and efficient security infrastructure for vehicular ad hoc networks
Computer Standards & Interfaces
Applying genetic algorithm for the development of the components-based embedded system
Computer Standards & Interfaces
Detecting moving objects, ghosts, and shadows in video streams
IEEE Transactions on Pattern Analysis and Machine Intelligence
A flexible time-triggered service for real-time CORBA
Computer Standards & Interfaces
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The increasing number of ITS (Intelligent Transportation Systems) equipment spread across cities offers tremendous possibilities in the development of distributed smart environments. A middleware layer located between the operating system and the final application can be used for the communication among the equipment to spontaneously act and cooperate among themselves. However, this middleware layer has also a computational cost that should be quantified as it can affect the main application. This paper defines a methodology for such quantification using as case example a modern ITS equipment related to vehicle tracking using artificial vision. Experimental results illustrate the proposed methodology.