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http://hdl.handle.net/10553/114802
Title: | Smart motion detection sensor based on video processing using self-organizing maps | Authors: | Ortega Zamorano, Francisco Molina-Cabello, Miguel A. López-Rubio, Ezequiel Palomo, Esteban J. |
UNESCO Clasification: | 1203 Ciencia de los ordenadores | Keywords: | Self-organizing map Microcontroller Arduino Image processing Block processing |
Issue Date: | 2016 | Journal: | Expert Systems with Applications | Abstract: | Most current approaches to computer vision are based on expensive, high performance hardware to meet the heavy computational requirements of the employed algorithms. These system architectures are severely limited in their practical application due to financial and technical limitations. In this work a different strategy is used, namely the development of an inexpensive and easy to deploy computer vision system for motion detection. This is achieved by three means. First of all, an affordable and flexible hardware platform is employed. Secondly, the motion detection algorithm is specifically tailored to involve a very small computational load. Thirdly, a fixed point programming paradigm is followed in implementing the system so as to further reduce the computational requirements. The proposed system is experimentally compared to the standard motion detector for a wide range of benchmark videos. The reported results indicate that our proposal attains substantially better performance, while it remains affordable and easy to install in practice. | URI: | http://hdl.handle.net/10553/114802 | ISSN: | 0957-4174 | DOI: | 10.1016/j.eswa.2016.08.010 | Source: | Expert Systems with Applications [ISSN 0957-4174], v. 64, p. 476-489 |
Appears in Collections: | Artículos |
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