Embedded IR multi aperture imaging for surveillance applications

Autor:	Alvaro Souto, Antón García-Díaz, Roi Méndez-Rial, Miguel A. Preciado, Andrew R. Harvey
Rok vydání:	2017
Předmět:	Aperture business.industry Computer science Real-time computing Multispectral image ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Image processing Context (language use) Iterative reconstruction Analytics Electronic engineering Image sensor Focus (optics) business
Zdroj:	Imaging and Applied Optics 2017 (3D, AIO, COSI, IS, MATH, pcAOP).
DOI:	10.1364/aio.2017.ath1a.2
Popis:	We present recent advances on the development of a IR multi aperture imaging system for safety and security surveillance in the context of SEERS project. Besides the development of multi sensor imaging modules using uncooled technology, the research efforts entail embedded algorithms for image reconstruction of multi spectral and super resolution images and image-based measurements as the basis for video analytics. Different use cases are targeted, with a special focus on surveillance of confined traffic and seaports.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::af0a93fedaf15344d0a9fab19222b2ad https://doi.org/10.1364/aio.2017.ath1a.2 Zobrazit plný text záznamu