Titlebook: Computer Analysis of Images and Patterns; CAIP 2019 Internatio Mario Vento,Gennaro Percannella,Manzoor Razaak Conference proceedings 2019 S

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Liat Margolis,Alexander Robinsonf deep learning (DL) models, with a focus on aerial photos produced by unmanned aerial vehicles (UAV). The general concept and methodology are described, and preliminary results are presented, based on a classification problem of fire identification in forests as well as a counting problem of estima

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Liat Margolis,Alexander Robinsoneople (VIP). Technology may enable them to find new ways of travelling around smart cities, thus improving their quality of life (QoL). Currently, there are approximately 110 million VIP worldwide, and continuous research is crucial to find innovative solutions to their mobility problems. Recent adv

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Liat Margolis,Alexander Robinson method for estimating the crop and weed distribution from images captured by a UAV. The proposed approach runs on an embedded board equipped with a GPU. Quantitative experimental results have been obtained using real images from two different public datasets. The results demonstrate the effectivene

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Liat Margolis,Alexander Robinson communication employing onboard computer vision to recognize the operator’s gestures and providing visible feedback to him. This work presents use cases and summarizes the achievements made so far at the Institute of Flight Systems with respect to functional concepts, system architectures, sensor t

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1865-0929 d Patterns, CAIP 2019, held in Salerno, Italy, in September 2019: First Workshop on Deep-learning based Computer Vision for UAV, DL-UAV 2019, and the First Workshop on Visual Computing and Machine Learning for Biomedical Applications, ViMaBi 2019.. The 12 papers presented in this volume were careful

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