Gennaro PERCANNELLA | Pubblicazioni
Gennaro PERCANNELLA Pubblicazioni
2017 | |
Contributo in Atti di convegno | |
An efficient and effective method for people detection from top-view depth cameras. In: 14th IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS) IEEE Pag.1-6 ISBN:978-1-5386-2939-0 | |
14th IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS) Lecce, Italy 29 Aug.-1 Sept. 2017 | |
Carletti, Vincenzo; DEL PIZZO, Luca; Percannella, Gennaro; Vento, Mario | |
Versione online | |
Digital Object Identifier (DOI): 10.1109/AVSS.2017.8078531 Codice identificativo ISI: WOS:000426203700073 Codice identificativo SCOPUS: 2-s2.0-85039913720 | |
Visualizza sul Database dei Prodotti (IRIS) |
2017 | |
Contributo in Atti di convegno | |
International Contest on Pattern Recognition techniques for indirect immunofluorescence images analysis. In: Proceedings - International Conference on Pattern Recognition IEEE Pag.74-76 ISBN:9781509048472 | |
23rd International Conference on Pattern Recognition, ICPR 2016 Cancun Center 2016 | |
Lovell, Brian C.; Percannella, Gennaro; Saggese, Alessia; Vento, Mario; Wiliem, Arnold | |
Versione online | |
Digital Object Identifier (DOI): 10.1109/ICPR.2016.7899610 Codice identificativo ISI: WOS:000406771300013 Codice identificativo SCOPUS: 2-s2.0-85019107883 | |
Visualizza sul Database dei Prodotti (IRIS) |
2017 | |
Contributo in Atti di convegno | |
Benchmarking two algorithms for people detection from top-view depth cameras. In: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Springer Verlag Vol.10484, Pag.73-83 ISBN:9783319685595 | |
19th International Conference on Image Analysis and Processing, ICIAP 2017 Catania, Italy 11 - 15 September 2017 | |
Carletti, Vincenzo; Del Pizzo, Luca; Percannella, Gennaro; Vento, Mario | |
Versione online | |
Digital Object Identifier (DOI): 10.1007/978-3-319-68560-1_7 Codice identificativo ISI: WOS:000445227800007 Codice identificativo SCOPUS: 2-s2.0-85032474409 | |
Visualizza sul Database dei Prodotti (IRIS) |