@conference {Conte19961213,
	title = {Automatic analysis of visual data in submarine pipeline inspection},
	booktitle = {Oceans Conference Record (IEEE)},
	volume = {3},
	year = {1996},
	note = {cited By 8},
	pages = {1213-1219},
	abstract = {An automatic system for analysis and interpretation of visual data from submarine pipeline inspection operates using images collected by cameras mounted on an unmanned Remotely Operated Vehicle (ROV) that moves along the pipeline. The system supports the operator in navigating the ROV and in detecting structural elements of the pipeline such as anodes, gravel heaps and reference bands. The system employs a feature based technique for recognizing the pipeline{\textquoteright}s profile and for detecting the structural elements. Information gathered by analyzing and interpreting the visual data can be used for automatic guidance and inspection by integrating the system into a larger architecture.},
	url = {http://www.scopus.com/inward/record.url?eid=2-s2.0-0030385353\&partnerID=40\&md5=d5723a92ebcff100f3868adc25135935},
	author = {Conte, G. and S.M. Zanoli and Perdon, A.M. and Guido Tascini and Primo Zingaretti}
}
@article {Tascini1996432,
	title = {Real-time inspection by submarine images},
	journal = {Journal of Electronic Imaging},
	volume = {5},
	number = {4},
	year = {1996},
	note = {cited By 5},
	pages = {432-442},
	abstract = {A real-time application of computer vision concerning tracking and inspection of a submarine pipeline is described. The objective is to develop automatic procedures for supporting human operators in the real-time analysis of images acquired by means of cameras mounted on underwater remotely operated vehicles (ROV). Implementation of such procedures gives rise to a human-machine system for underwater pipeline inspection that can automatically detect and signal the presence of the pipe, of its structural or accessory elements, and of dangerous or alien objects in its neighborhood. The possibility of modifying the image acquisition rate in the simulations performed on video-recorded images is used to prove that the system performs all necessary processing with an acceptable robustness working in real-time up to a speed of about 2.5 kn, widely greater than that the actual ROVs and the security features allow. {\textcopyright} 1996 SPIE and IS\&T.},
	url = {http://www.scopus.com/inward/record.url?eid=2-s2.0-0009091679\&partnerID=40\&md5=0be09172d776524c453eb82b24820faf},
	author = {Guido Tascini and Primo Zingaretti and Conte, G.}
}
