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An enhanced framework for multimedia data: Green transmission and portrayal for smart traffic system
یک چارچوب پیشرفته برای داده های چند رسانه ای: انتقال و تصویر سبز برای سیستم ترافیک هوشمند-2018 The object tracking in video surveillance for intelligent traffic handling in smart cities re
quires an enormous amount of data called big data to be transmitted over the network
using the Internet of Things. Manual monitoring and surveillance are impossible because
traditional computer vision technologies are no more useful for massive processing and
intelligent decision making. In this paper, a framework is proposed which enables both on
spot data processing and intelligent decision making by using cloud computing. The de
veloped application is a trained on Artificial Neural Network, which can handle different
traffic techniques with congested traffic scenario and priorities traffic such as ambulance
handling. The Message Queue Telemetry Transport protocol is used for green transmission
with mobile access to traffic data. The results analyzed with thirty videos processed data
which handle real-time data prioritization for the people for smart surveillance to fastest
route and enhance the intelligent data transmission.
Keywords: Internet of thing ، Big data ، Cloud computing ، Green transmission ، Artificial Neural Network ، Object tracking |
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