Development of intelligent multisensor surveillance systems with agents

Intelligent multisensor surveillance systems consist of several types of sensors, which are installed on fixed and mobile devices. These components provide a huge quantity of information that has to be contrasted, correlated and integrated in order to recognize and react on special situations. These systems work in highly dynamic environments, with severe security and robustness requirements. All these characteristics imply the need for distributed solutions. In these solutions, scattered components can decide and act with some degree of autonomy (for instance, if they become isolated), or cooperate and coordinate for a complete tracking of special situations. In order to cope with these requirements and to better structure the solution, we have decided to design surveillance system control as a multiagent system. This is done by applying an agent-orientated methodology, which is assessed with concrete scenarios. c 2007 Elsevier B.V. All rights reserved.

[1]  Jorge J. Gómez-Sanz,et al.  The INGENIAS Methodology and Tools , 2005 .

[2]  Stuart Kent,et al.  Model Driven Engineering , 2002, IFM.

[3]  Terrance E. Boult,et al.  Frame-rate omnidirectional surveillance and tracking of camouflaged and occluded targets , 1999, Proceedings Second IEEE Workshop on Visual Surveillance (VS'99) (Cat. No.98-89223).

[4]  Ning Xi,et al.  Modeling and design of mobile surveillance networks using a mutational analysis approach , 2005, 2005 IEEE/RSJ International Conference on Intelligent Robots and Systems.

[5]  José M. Molina López,et al.  FUZZY REASONING IN A MULTIAGENT SYSTEM OF SURVEILLANCE SENSORS TO MANAGE COOPERATIVELY THE SENSOR-TO-TASK ASSIGNMENT PROBLEM , 2004, Appl. Artif. Intell..

[6]  Pietro Baroni,et al.  Modeling robot cognitive activity through active mental entities , 2000, Robotics Auton. Syst..

[7]  Jorge J. Gómez-Sanz,et al.  Model Driven Development of Multi-Agent Systems , 2006, ECMDA-FA.

[8]  Francesco G. B. De Natale,et al.  A wireless multimedia framework for the management of emergency situations in automotive applications: The AIDER system , 2005, Signal Process. Image Commun..

[9]  Takeo Kanade,et al.  Algorithms for cooperative multisensor surveillance , 2001, Proc. IEEE.

[10]  Touradj Ebrahimi,et al.  Video-based multi-agent traffic surveillance system , 2000, Proceedings of the IEEE Intelligent Vehicles Symposium 2000 (Cat. No.00TH8511).

[11]  Antonio Fernández-Caballero,et al.  Visual surveillance by dynamic visual attention method , 2006, Pattern Recognit..

[12]  Antonio Fernández-Caballero,et al.  Holonic Multi-agent Systems to Integrate Independent Multi-sensor Platforms in Complex Surveillance , 2006, 2006 IEEE International Conference on Video and Signal Based Surveillance.

[13]  Hamideh Afsarmanesh,et al.  Multi-agent systems applications , 1999, Robotics Auton. Syst..

[14]  Tamio Arai,et al.  A distributed control scheme for multiple robotic vehicles to make group formations , 2001, Robotics Auton. Syst..

[15]  Yves Demazeau,et al.  FLIP: Prototyping multi-robot systems , 2005, Robotics Auton. Syst..

[16]  Antonio Fernández-Caballero,et al.  Spatio-temporal shape building from image sequences using lateral interaction in accumulative computation , 2003, Pattern Recognit..

[17]  Alex Pentland,et al.  A Bayesian Computer Vision System for Modeling Human Interactions , 1999, IEEE Trans. Pattern Anal. Mach. Intell..

[18]  Antonio Fernández-Caballero,et al.  Motion features to enhance scene segmentation in active visual attention , 2006, Pattern Recognit. Lett..

[19]  Paolo Remagnino,et al.  Distributed intelligence for multi-camera visual surveillance , 2004, Pattern Recognit..