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J. Sens. Actuator Netw. 2014, 3(2), 95-112; doi:10.3390/jsan3020095

Parallel Computational Intelligence-Based Multi-Camera Surveillance System

1, 1,* , 2
Received: 16 December 2013 / Revised: 19 March 2014 / Accepted: 1 April 2014 / Published: 11 April 2014
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In this work, we present a multi-camera surveillance system based on the use of self-organizing neural networks to represent events on video. The system processes several tasks in parallel using GPUs (graphic processor units). It addresses multiple vision tasks at various levels, such as segmentation, representation or characterization, analysis and monitoring of the movement. These features allow the construction of a robust representation of the environment and interpret the behavior of mobile agents in the scene. It is also necessary to integrate the vision module into a global system that operates in a complex environment by receiving images from multiple acquisition devices at video frequency. Offering relevant information to higher level systems, monitoring and making decisions in real time, it must accomplish a set of requirements, such as: time constraints, high availability, robustness, high processing speed and re-configurability. We have built a system able to represent and analyze the motion in video acquired by a multi-camera network and to process multi-source data in parallel on a multi-GPU architecture.
Keywords: growing neural gas; camera networks; visual surveillance; GPU; CUDA; multi-core growing neural gas; camera networks; visual surveillance; GPU; CUDA; multi-core
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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Orts-Escolano, S.; Garcia-Rodriguez, J.; Morell, V.; Cazorla, M.; Azorin, J.; Garcia-Chamizo, J.M. Parallel Computational Intelligence-Based Multi-Camera Surveillance System. J. Sens. Actuator Netw. 2014, 3, 95-112.

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J. Sens. Actuator Netw. EISSN 2224-2708 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert