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Low-power focal-plane dynamic texture segmentation based on programmable image binning and diffusion hardware

 

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dc.creator Fernández Berni, Jorge es
dc.creator Carmona Galán, Ricardo es
dc.date.accessioned 2018-04-20T08:31:52Z
dc.date.available 2018-04-20T08:31:52Z
dc.date.issued 2009
dc.identifier.citation Fernández Berni, J. y Carmona Galán, R. (2009). Low-power focal-plane dynamic texture segmentation based on programmable image binning and diffusion hardware. Proceedings of SPIE, 7365, 1-9.
dc.identifier.issn 0277-786X (electrónico) es
dc.identifier.issn 1996-756X (impreso) es
dc.identifier.uri https://hdl.handle.net/11441/73279
dc.description.abstract Stand-alone applications of vision are severely constrained by their limited power budget. This is one of the main reasons why vision has not yet been widely incorporated into wireless sensor networks. For them, image processing should be suscribed to the sensor node in order to reduce network traffic and its associated power consumption. In this scenario, operating the conventional acquisition-digitization-processing chain is unfeasible under tight power limitations. A bio-inspired scheme can be followed to meet the timing requirements while maintaining a low power consumption. In our approach, part of the low-level image processing is conveyed to the focal-plane thus speeding up system operation. Moreover, if a moderate accuracy is permissible, signal processing is realized in the analog domain, resulting in a highly efficient implementation. In this paper we propose a circuit to realize dynamic texture segmentation based on focal-plane spatial bandpass filtering of image subdivisions. By the appropriate binning, we introduce some constrains into the spatial extent of the targeted texture. By running time-controlled linear diffusion within each bin, a specific band of spatial frequencies can be highlighted. Measuring the average energy of the components in that band at each image bin the presence of a targeted texture can be detected and quantified. The resulting low-resolution representation of the scene can be then employed to track the texture along an image flow. An application specific chip, based on this analysis, is being developed for natural spaces monitoring by means of a network of low-power vision systems. es
dc.description.sponsorship Junta de Andalucía 2006-TIC-235 es
dc.description.sponsorship Ministerio de Economía, Industria y Competitividad TEC 2006-15722 es
dc.format application/pdf es
dc.language.iso eng es
dc.publisher Society of Photo-Optical Instrumentation Engineers es
dc.relation.ispartof Proceedings of SPIE, 7365, 1-9.
dc.rights Attribution-NonCommercial-NoDerivatives 4.0 Internacional *
dc.rights.uri http://creativecommons.org/licenses/by-nc-nd/4.0/ *
dc.subject Wireless sensor networks es
dc.subject Bio-inspired processing architecture es
dc.subject Dynamic textures es
dc.subject VLSI implementation es
dc.subject Diffusion es
dc.title Low-power focal-plane dynamic texture segmentation based on programmable image binning and diffusion hardware es
dc.type info:eu-repo/semantics/article es
dc.type.version info:eu-repo/semantics/publishedVersion es
dc.rights.accessrights info:eu-repo/semantics/openAccess es
dc.contributor.affiliation Universidad de Sevilla. Departamento de Electrónica y Electromagnetismo es
dc.relation.projectID 2006-TIC-235 es
dc.relation.projectID TEC 2006-15722 es
dc.relation.publisherversion http://dx.doi.org/10.1117/12.822590 es
dc.identifier.doi 10.1117/12.822590 es
idus.format.extent 9 p. es
dc.journaltitle Proceedings of SPIE es
dc.publication.volumen 7365 es
dc.publication.initialPage 1 es
dc.publication.endPage 9 es
dc.contributor.funder Junta de Andalucía
dc.contributor.funder Ministerio de Economia, Industria y Competitividad (MINECO). España
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