@conference {cenci2015non,
	title = {Non-Contact Monitoring of Preterm Infants Using RGB-D Camera},
	booktitle = {ASME 2015 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference},
	year = {2015},
	pages = {V009T07A003{\textendash}V009T07A003},
	publisher = {American Society of Mechanical Engineers},
	organization = {American Society of Mechanical Engineers},
	author = {Annalisa Cenci and Daniele Liciotti and Emanuele Frontoni and Adriano Mancini and Primo Zingaretti}
}
@article {Mancini2013409,
	title = {A novel method for fast processing of large remote sensed image},
	journal = {Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)},
	volume = {8157 LNCS},
	number = {PART 2},
	year = {2013},
	note = {cited By 1},
	pages = {409-418},
	abstract = {In this paper we present a novel approach to reduce the computational load of a CFAR detector. The proposed approach is based on the use of integral images to directly manage the presence of masked pixels or invalid data and reduce the computational time. The approach goes through the challenging problem of ship detection from remote sensed data. The capability of fast image processing allows to monitor the marine traffic and identify possible threats. The approach allows to significantly boost the performance up to 50x working with very high resolution image and large kernels. {\textcopyright} 2013 Springer-Verlag.},
	doi = {10.1007/978-3-642-41184-7_42},
	url = {http://www.scopus.com/inward/record.url?eid=2-s2.0-84884709393\&partnerID=40\&md5=335f37537f59723ffcfa04255b21821b},
	author = {Adriano Mancini and Anna Nora Tassetti and Cinnirella, A. and Emanuele Frontoni and Primo Zingaretti}
}
