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

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

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Autor: Fernández Berni, Jorge
Carmona Galán, Ricardo
Departamento: Universidad de Sevilla. Departamento de Electrónica y Electromagnetismo
Fecha: 2009
Tipo de documento: Artículo
Resumen: 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 su...
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Tamaño: 452.3Kb
Formato: PDF

URI: https://hdl.handle.net/11441/73279

DOI: 10.1117/12.822590

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