Video Analysis for Ambient Intelligence in Urban Environments

2008 ◽  
pp. 137-153 ◽  
Author(s):  
J. Medina Quero ◽  
M. D. Ruiz Lozano ◽  
J. A. Castañeda García ◽  
M. A. Rodriguez Molina ◽  
D. M. Frias Jamilena

The clustering has provided data analysis in many contexts of Computer Science. It is widely applied in Ambient Intelligence and Ubiquitous Computing for information processing, with geolocation data prominently. In this paper, we introduce a dynamic fuzzy temporal clustering algorithm (DFTC) to detect stays of users in urban environments based on locations from imprecise sensors. Our approach includes fuzzy evaluation of temporal and probabilistic data providing analysis in real time. As results, we have developed a mobile application which integrates the DFTC and detects satisfactorily user stays related to urban commerces from a real environment.


2008 ◽  
Author(s):  
Sato Hiroshi ◽  
Kubo Masao ◽  
Namatame Akira
Keyword(s):  

2014 ◽  
Author(s):  
Chrono Nu ◽  
Katie Mullin ◽  
Hailey Edwards ◽  
Kailey Kornhauser ◽  
Russell Costa ◽  
...  

TERRITORIO ◽  
2020 ◽  
pp. 148-163
Author(s):  
Luca Fondacci

In the 1970s, the fragile historical centre of the city of Perugia was a key area where the binomial of sustainable mobility and urban regeneration was developed and applied. At the turn of the xxi century, the low carbon automatic people-mover Minimetrò broadened that application from the city's historical centre to the outskirts, promoting the enhancement of several urban environments. This paper is the outcome of an investigation of original sources, field surveys and direct interviews, which addresses the Minimetrò as the backbone of a wide regeneration process which has had a considerable impact on the economic development of a peripheral area of the city which was previously devoid of any clear urban sense. The conclusion proposes some solutions to improve the nature of the Minimetrò as an experimental alternative means of transport.


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