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Ahmad Falahzadeh, Daniel Mihai Toma, Marco Francescangeli, Damianos Chatzievangelou, Marc Nogueras, Enoc Martínez, Matias Carandell, Michael Tangerlini, Laurenz Thomsen, Giacomo Picardi, Marie Le Bris, Luisa Dominguez, Jacopo Aguzzi and Joaquin del Río
The use of marine cabled video observatories with multiparametric environmental data collection capability is becoming relevant for ecological monitoring strategies. Their ecosystem surveying can be enforced in real time, remotely, and continuously, over...
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Aurélien Arnaubec, Maxime Ferrera, Javier Escartín, Marjolaine Matabos, Nuno Gracias and Jan Opderbecke
This paper addresses the lack of ?push-button? software for optical marine imaging, which currently limits the use of photogrammetric approaches by a wider community. It presents and reviews an open source software, Matisse, for creating textured 3D mode...
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Anna M. Girardi, Elizabeth A. Cardell and Stephen P. Bird
Radiological imaging is an essential component of a swallowing assessment. Artificial intelligence (AI), especially deep learning (DL) models, has enhanced the efficiency and efficacy through which imaging is interpreted, and subsequently, it has importa...
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Kai Hu, Chenghang Weng, Yanwen Zhang, Junlan Jin and Qingfeng Xia
Underwater video images, as the primary carriers of underwater information, play a vital role in human exploration and development of the ocean. Due to the optical characteristics of water bodies, underwater video images generally have problems such as c...
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Zeyuan Shao, Hongguang Lyu, Yong Yin, Tao Cheng, Xiaowei Gao, Wenjun Zhang, Qianfeng Jing, Yanjie Zhao and Lunping Zhang
Accurate detection of sea-surface objects is vital for the safe navigation of autonomous ships. With the continuous development of artificial intelligence, electro-optical (EO) sensors such as video cameras are used to supplement marine radar to improve ...
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Shijing Han, Xiaorui Dong, Xiangyang Hao and Shufeng Miao
Surveillance systems focus on the image itself, mainly from the perspective of computer vision, which lacks integration with geographic information. It is difficult to obtain the location, size, and other spatial information of moving objects from survei...
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Xiaoyue Luo, Yanhui Wang, Benhe Cai and Zhanxing Li
Previous research on moving object detection in traffic surveillance video has mostly adopted a single threshold to eliminate the noise caused by external environmental interference, resulting in low accuracy and low efficiency of moving object detection...
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Masaaki Komatsu, Akira Sakai, Reina Komatsu, Ryu Matsuoka, Suguru Yasutomi, Kanto Shozu, Ai Dozen, Hidenori Machino, Hirokazu Hidaka, Tatsuya Arakaki, Ken Asada, Syuzo Kaneko, Akihiko Sekizawa and Ryuji Hamamoto
Artificial Intelligence (AI) technologies have recently been applied to medical imaging for diagnostic support. With respect to fetal ultrasound screening of congenital heart disease (CHD), it is still challenging to achieve consistently accurate diagnos...
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Steven Douglas, Andrew Cornett and Ioan Nistor
Over the past decade, the use of imaging devices to perform quantitative measurements has seen wide-scale adoption and has become integral to the emerging fields of research, such as computer vision and artificial intelligence. Recent studies, published ...
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Fabrizio Nardini, Claudio Belvedere, Nicola Sancisi, Michele Conconi, Alberto Leardini, Stefano Durante and Vincenzo Parenti-Castelli
Biomechanical models of the knee joint allow the development of accurate procedures as well as novel devices to restore the joint natural motion. They are also used within musculoskeletal models to perform clinical gait analysis on patients. Among releva...
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