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recorded video to report some problem or accident is a complicated task for the user, as
he/she has to extract the needed part of the record manually and then write an anno-
tation/description and then send it to authorities (an average citizen does not know
where). Therefore, we highlight the challenge of retrieving such video fragments for
evidence collection and the methods of annotating, discovering, retrieving and pro-
cessing video data streams or their fragments. In particular, we argue that smartphones
playing the role of VMSC can be used for evidence collection in case of a road
accident. Besides, smartphone owners can use the proposed CityWatcher Android-
based application for sending their automatically or manually annotated reports about
road accidents, or any other city problems, e.g., road potholes and cracks, problems
with streetlights, aggressive driving, and crime to relevant authorities. In this paper we
propose, develop, discuss and evaluate a new scenario for the
“
CityWatcher
”
app that
uses OpenIoT platform as a middleware.
Functioning of a modern city strongly depends not only on the city infrastructure,
but also on the availability and quality of information for citizens and authorities about
different aspects of city life. Various applications enhancing and making easier the city
life lead to the concept of a
'
smart city
'
, which has received a lot of attention in last few
“
”
years. The
Smart City
concept essentially implies ef
ciency, effectiveness and
resource optimization. Ef
ciency is largely based on the intelligent management
and integrated ICT (Information and Communication Technology) infrastructure, and
active citizen participation. Therefore, citizens can and may choose to participate in
implementing public policies in the form of crowdsourcing and crowdsensing [
1
3
].
Applications for smart cities are usually divided into six main areas: smart living,
smart governance, smart economy, smart environment, smart people and smart
mobility [
4
]. A very important feature for all these types of applications is the feasi-
bility of data collection, which is primarily using sensors and sensor networks. Smart
city applications need flexible access to open public data through the web for visual-
izing, transforming and making use of it. Active participation of all stakeholders is also
very important for the smart city.
As the number of cars continues to grow, road problems become one of the main
issues for city management. In smart cities, Intelligent Transportation Systems (ITS) [
5
]
are used for solving transportation and congestion problems using Information and
Communication Technology (ICT). ITSs help in problem detection, violations of traf
-
c
regulations, traf
c analysis, evidence collection, safety provisioning, reducing costs and
delays and much more. Therefore, ITSs appear to be one of the most important parts of
a smart city. There
'
s a recent development titled the Internet of Vehicles, as part of the
Internet of Things.
Rapid problem solving is really important for the smart city. If a citizen encounters
a problem, he/she should be able to draw city management attention to it without taking
any complicated actions. On the other side, all city services must be ready to receive
such requests and take measures to solve the problem. Besides, they must have
instruments to ask for some help from citizens. This help is called crowdsourcing. If
this help takes a form of getting any information from computers, smartphones or other
devices that incorporate sensors, than we can speak about Urban Crowdsensing.
Working in close contact with citizens is very important part of moving towards smart
cities.
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