Risultati di ricerca

con K2 Items e Tipo , e con Elenco Pubblicazioni - Publications e K2 Category , e con FABIO CARRARA e Author sono stati trovati i seguenti risultati:

G. Amato, F. Carrara, F. Falchi, C. Gennaro, C. Vairo: "Car parking occupancy detection using smart camera networks and Deep Learning", 2016 IEEE Symposium on Computers and Communication (ISCC), 1212-1217
This paper presents an approach for real-time car parking occupancy detection that uses a Convolutional Neural Network (CNN) classifier running on-board of a smart camera with limited resources. Experiments show that our technique is very effective and...
http://phd.dii.unipi.it/pubblicazioni/item/1074-g-amato,-f-carrara,-f-falchi,-c-gennaro,-c-vairo-car-parking-occupancy-detection-using-smart-camera-networks-and-deep-learning-,-2016-ieee-symposium-on-computers-and-communication-iscc-,-1212-1217.html
Carrara F, Falchi F, Gennaro C. Semiautomatic Learning of 3D Objects from Video Streams. Similarity Search and Applications. 2015:217-28.
  Object detection and recognition are classical problems in computer vision, but are still challenging without a priori knowledge of objects and with a limited user interaction. In this work, a semiautomatic system for visual object learning from...
http://phd.dii.unipi.it/pubblicazioni/item/805-carrara-f,-falchi-f,-gennaro-c-semiautomatic-learning-of-3d-objects-from-video-streams-similarity-search-and-applications-2015-217-28.html
Carrara F, Amato G, Falchi F, Gennaro C. Efficient foreground-background segmentation using local features for object detection. InProceedings of the 9th International Conference on Distributed Smart Camera 2015 Sep 8 (pp. 175-180). ACM.
In this work, a local feature based background modelling for background-foreground feature segmentation is presented. In local feature based computer vision applications, a local feature based model presents advantages with respect to classical...
http://phd.dii.unipi.it/pubblicazioni/item/804-carrara-f,-amato-g,-falchi-f,-gennaro-c-efficient-foreground-background-segmentation-using-local-features-for-object-detection-inproceedings-of-the-9th-international-conference-on-distributed-smart-camera-2015-sep-8-pp-175-180-acm.html

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