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Sensors 2009, 9(12), 10044-10065;

Real-Time Accumulative Computation Motion Detectors

Instituto de Investigación en Informática de Albacete, 02071-Albacete, Spain
Departamento de Sistemas Informáticos, Escuela de Ingenieros Industriales de Albacete, Universidad de Castilla-La Mancha, 02071-Albacete, Spain
Departamento de Sistemas Informáticos, Escuela Superior de Ingeniería Informática, Universidad de Castilla-La Mancha, 02071-Albacete, Spain
Department of Signal Theory and Communications, Escuela Politécnica Superior, Universidad de Alcalá, 28871-Alcalá de Henares, Madrid, Spain
Author to whom correspondence should be addressed.
Received: 28 October 2009 / Revised: 24 November 2009 / Accepted: 30 November 2009 / Published: 10 December 2009
(This article belongs to the Special Issue Motion Detectors)
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The neurally inspired accumulative computation (AC) method and its application to motion detection have been introduced in the past years. This paper revisits the fact that many researchers have explored the relationship between neural networks and finite state machines. Indeed, finite state machines constitute the best characterized computational model, whereas artificial neural networks have become a very successful tool for modeling and problem solving. The article shows how to reach real-time performance after using a model described as a finite state machine. This paper introduces two steps towards that direction: (a) A simplification of the general AC method is performed by formally transforming it into a finite state machine. (b) A hardware implementation in FPGA of such a designed AC module, as well as an 8-AC motion detector, providing promising performance results. We also offer two case studies of the use of AC motion detectors in surveillance applications, namely infrared-based people segmentation and color-based people tracking, respectively. View Full-Text
Keywords: accumulative computation; finite state automata; real-time; motion detection accumulative computation; finite state automata; real-time; motion detection
This is an open access article distributed under the Creative Commons Attribution License (CC BY 3.0).

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MDPI and ACS Style

Fernández-Caballero, A.; López, M.T.; Castillo, J.C.; Maldonado-Bascón, S. Real-Time Accumulative Computation Motion Detectors. Sensors 2009, 9, 10044-10065.

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