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Previous issue date: 2015-12-17 / Vigil?ncia Inteligente desempenha um papel fundamental na assist?ncia tecnol?gica em cen?rios
de seguran?a p?blica atrav?s de seu potencial em detectar objetos e eventos em tempo real. Essa
tecnologia tem atra?do aten??o especial no campo de seguran?a p?blica, particularmente em
ambientes veiculares pela habilidade em assistir cen?rios de miss?o cr?tica atrav?s de detec??o
autom?tica por v?deo em tempo real(ex. assaltos, sequestros, atos de viol?ncia, etc.). Consequentemente,
? poss?vel permitir que autoridades realizem uma compensa??o entre reativa e
pr?-ativa na tomada de a??es, buscando manter sistemas de alertas customizados, realizando
um planejamento mais eficiente, e prover melhor qualidade de vida ? sociedade. Al?m disso, a
associa??o de recursos de Computa??o em Nuvem ? suscept?vel de proporcionar perspectivas
avan?adas para aplica??es de Vigil?ncia Inteligente, em termos de aprovisionamento refor?ado:
(i) processamento, para permitir implanta??o de t?cnicas de computa??o inteligente para melhorar
a precis?o; (ii) armazenamento, para adotar uma grande variedade de templates; (iii) e,
acesso ub?quo para que qualquer dispositivo permane?a conectado em qualquer lugar. A investiga??o
realizada neste trabalho ? focada na abordagem de Vigil?ncia Inteligente baseada
em Computa??o em Nuvem conduzida para permitir execu??o de aplica??es m?veis baseadas
em eventos no dom?nio de seguran?a p?blica. O objetivo ? permitir que aplica??es m?veis
otimizadas, as quais explorando um esquema baseado em eventos, possam prover perspectivas
de baixo consumo de recursos(energia, CPU e rede) em compra??o ? abordagem reativa cl?ssica.
Uma avalia??o ? feita atrav?s de um conjunto de experimentos realizados em um testbed
real, os quais demonstram que o trabalho proposto supera o esquema de computa??o m?vel
cl?ssico. / Smart video surveillance plays a key role in offering technological assistance in public safety
scenarios, due to its potential to allow events and objects to be automatically detected in realtime.
The Smart video surveillance technology has attracted special attention in the field of
public safety, particularly in vehicular environments by the ability in assisting mission critical
scenarios through real-time video processing based automatic detections (e.g., assaults, kidnaps,
acts of violence etc.). Hence, it is possible to enable a tradeoff to be made between reactive and
pro-active authorities when taking action, seeking to keep customized alert systems, carry out
more efficient planning, and thus provide society with a better quality of life. Moreover, the association
to Cloud Computing capabilities, is likely to provide advanced perspectives to smart
surveillance applications, in terms to provisioning enhanced: (i) processing, to allow for deploying
smart computing techniques for improved accuracy; (ii) storage, to adopt a wide variety of
templates; (iii), and ubiquitous access, to keep connected everywhere and to any device. The
investigation carried in this work focus in deploying a smart surveillance driven cloud-enabled
approach to allow for event-based mobile applications in the public safety field. The objective
is to allow optimized mobile applications, by which exploiting event-based scheme to provide
to low resource consumption (energy, CPU and network usage) perspectives in comparison
to the classic reactive approach. The evaluation is carried out in a set of experiments over a
real testbed, which demonstrates that the proposal outperforms the classical mobile computing
scheme.
Identifer | oai:union.ndltd.org:IBICT/oai:repositorio.ufrn.br:123456789/22077 |
Date | 17 December 2015 |
Creators | Camboim, Hugo Barros |
Contributors | 45428670215, http://lattes.cnpq.br/1467664612924239, Aquino J?nior, Gibeon Soares de, 02685578455, http://lattes.cnpq.br/1254338144161360, Cerqueira, Eduardo Coelho, 60425679268, http://lattes.cnpq.br/1028151705135221, Ven?ncio Neto, Augusto Jos? |
Publisher | PROGRAMA DE P?S-GRADUA??O EM SISTEMAS E COMPUTA??O, UFRN, Brasil |
Source Sets | IBICT Brazilian ETDs |
Language | Portuguese |
Detected Language | English |
Type | info:eu-repo/semantics/publishedVersion, info:eu-repo/semantics/masterThesis |
Source | reponame:Repositório Institucional da UFRN, instname:Universidade Federal do Rio Grande do Norte, instacron:UFRN |
Rights | info:eu-repo/semantics/openAccess |
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