Database Reference
In-Depth Information
Research in this area will be highlighted in future papers. Besides, we are con
dent that
it is possible to extend the CityWatcher application with pervasive object search
options. It is hard to imagine a location where ICOs cameras can
t reach. ICOs can be
deployed anywhere and anytime. This reinforces the motto of the IoT
'
“
anywhere,
anytime, on any device and over any network
. While it might still be hard and
expensive to put surveillance cameras everywhere, with the advent of mobile com-
puting we can assume that users carry their ICOs/smartphones everywhere they go.
ICOs become more and more powerful and video recognition algorithms also are
becoming more advanced. For example, we can include some library for car number
plate recognition [
30
]. An ICO can receive a request from the police, searching for a
stolen car. ICO analyzes all car number plates that it detects on the road. If a match is
found
”
an alert can be sent back to police.
As video recognition algorithms become mature, we foresee more and more sce-
narios of pervasive object search. Present day smartphones are able to record and store
a large amount of video content with location and timestamp annotations, as well as
other diverse context. The proper use of sharing this information can help in improving
how the smart city runs and functions.
-
Acknowledgement. The research has been carried out with the nancial support of the Ministry
of Education and Science of the Russian Federation under grant agreement #14.575.21.0058.
Part of this work has been carried out in the scope of the ICT OpenIoT Project which is co-
funded by the European Commission under seventh framework program, contract number FP7-
ICT-2011-7-287305-OpenIoT.
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