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Daniele Liciotti
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2020 – today
- 2020
- [j4]Daniele Liciotti
, Michele Bernardini
A sequential deep learning application for recognising human activities in smart homes. Neurocomputing 396: 501-513 (2020)
2010 – 2019
- 2018
- [j3]Marina Paolanti
Modelling and Forecasting Customer Navigation in Intelligent Retail Environments. J. Intell. Robotic Syst. 91(2): 165-180 (2018) - [j2]Marina Paolanti
Person Re-Identification with RGB-D Camera in Top-View Configuration through Multiple Nearest Neighbor Classifiers and Neighborhood Component Features Selection. Sensors 18(10): 3471 (2018) - [c15]Daniele Liciotti, Marina Paolanti, Rocco Pietrini
Convolutional Networks for Semantic Heads Segmentation using Top-View Depth Data in Crowded Environment. ICPR 2018: 1384-1389 - [c14]Rocco Pietrini
CNN Implementation for Semantic Heads Segmentation Using Top-View Depth Data in Crowded Environment. RRPR 2018: 85-88 - 2017
- [c13]Emanuele Frontoni
Design of an interoperable framework with domotic sensors network integration. ICCE-Berlin 2017: 49-50 - [c12]Lucio Ciabattoni, Emanuele Frontoni
A sensor fusion approach for measuring emotional customer experience in an intelligent retail environment. ICCE-Berlin 2017: 67-68 - [c11]Daniele Liciotti, Marina Paolanti, Emanuele Frontoni
People Detection and Tracking from an RGB-D Camera in Top-View Configuration: Review of Challenges and Applications. ICIAP Workshops 2017: 207-218 - [c10]Daniele Liciotti, Emanuele Frontoni, Primo Zingaretti, Nicola Bellotto
HMM-based Activity Recognition with a Ceiling RGB-D Camera. ICPRAM 2017: 567-574 - [c9]Annalisa Cenci, Daniele Liciotti, Emanuele Frontoni, Primo Zingaretti, Virgilio Paolo Carnielli:
Movements analysis of preterm infants by using depth sensor. IML 2017: 12:1-12:9 - 2016
- [j1]Mirco Sturari, Daniele Liciotti
Robust and affordable retail customer profiling by vision and radio beacon sensor fusion. Pattern Recognit. Lett. 81: 30-40 (2016) - [c8]Daniele Liciotti
An Intelligent RGB-D Video System for Bus Passenger Counting. IAS 2016: 473-484 - [c7]Daniele Liciotti
Person Re-identification Dataset with RGB-D Camera in a Top-View Configuration. VAAM/FFER@ICPR 2016: 1-11 - [c6]Daniele Liciotti
Pervasive System for Consumer Behaviour Analysis in Retail Environments. VAAM/FFER@ICPR 2016: 12-23 - 2015
- [c5]Daniele Liciotti
Human activity analysis for in-home fall risk assessment. ICC Workshops 2015: 284-289 - [c4]Roberto Pierdicca
Low cost embedded system for increasing retail environment intelligence. ICME Workshops 2015: 1-6 - [i1]Daniele Liciotti, Marco Contigiani, Emanuele Frontoni, Adriano Mancini, Primo Zingaretti, Valerio Placidi:
Shopper Analytics: a customer activity recognition system using a distributed RGB-D camera network. CoRR abs/1508.06853 (2015) - 2014
- [c3]Daniele Liciotti
Advanced integration of multimedia assistive technologies: A prospective outlook. MESA 2014: 1-6 - [c2]Daniele Liciotti
An automatic analysis of shoppers behaviour using a distributed RGB-D cameras system. MESA 2014: 1-6 - [c1]Daniele Liciotti
Shopper Analytics: A Customer Activity Recognition System Using a Distributed RGB-D Camera Network. VAAM@ICPR 2014: 146-157
Coauthor Index
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