Distributed and collaborative real-time vehicle detection and classification over the video streams

Distributed and collaborative real-time vehicle detection and classification over the video streams

Traffic surveillance cameras are widely used in traffic management and information systems. Processing streaming media in real time is resource and time-consuming processes and even impossible to realize in most real-world applications. To overcome the performance problems in such applications, this...

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Bibliographic Details
Main Authors: Seda Kul, Süleyman Eken, Ahmet Sayar
Format: Article
Language:English
Published: SAGE Publishing 2017-07-01
Series:International Journal of Advanced Robotic Systems
Online Access:https://doi.org/10.1177/1729881417720782
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spelling doaj-285752b3bf874abb882b20d3ecbd40862020-11-25T03:03:15ZengSAGE PublishingInternational Journal of Advanced Robotic Systems1729-88142017-07-011410.1177/1729881417720782Distributed and collaborative real-time vehicle detection and classification over the video streamsSeda KulSüleyman EkenAhmet SayarTraffic surveillance cameras are widely used in traffic management and information systems. Processing streaming media in real time is resource and time-consuming processes and even impossible to realize in most real-world applications. To overcome the performance problems in such applications, this article introduces a middleware system based on pub/sub messaging protocol and a dispatcher to preprocess the streams in real time. Experimental results show that proposed middleware may be utilized in different areas such as infrastructure planning, traffic management, and prevention of traffic offenses.https://doi.org/10.1177/1729881417720782
collection DOAJ
language English
format Article
sources DOAJ
author Seda Kul
Süleyman Eken
Ahmet Sayar
spellingShingle Seda Kul
Süleyman Eken
Ahmet Sayar
Distributed and collaborative real-time vehicle detection and classification over the video streams
International Journal of Advanced Robotic Systems
author_facet Seda Kul
Süleyman Eken
Ahmet Sayar
author_sort Seda Kul
title Distributed and collaborative real-time vehicle detection and classification over the video streams
title_short Distributed and collaborative real-time vehicle detection and classification over the video streams
title_full Distributed and collaborative real-time vehicle detection and classification over the video streams
title_fullStr Distributed and collaborative real-time vehicle detection and classification over the video streams
title_full_unstemmed Distributed and collaborative real-time vehicle detection and classification over the video streams
title_sort distributed and collaborative real-time vehicle detection and classification over the video streams
publisher SAGE Publishing
series International Journal of Advanced Robotic Systems
issn 1729-8814
publishDate 2017-07-01
description Traffic surveillance cameras are widely used in traffic management and information systems. Processing streaming media in real time is resource and time-consuming processes and even impossible to realize in most real-world applications. To overcome the performance problems in such applications, this article introduces a middleware system based on pub/sub messaging protocol and a dispatcher to preprocess the streams in real time. Experimental results show that proposed middleware may be utilized in different areas such as infrastructure planning, traffic management, and prevention of traffic offenses.
url https://doi.org/10.1177/1729881417720782
work_keys_str_mv AT sedakul distributedandcollaborativerealtimevehicledetectionandclassificationoverthevideostreams
AT suleymaneken distributedandcollaborativerealtimevehicledetectionandclassificationoverthevideostreams
AT ahmetsayar distributedandcollaborativerealtimevehicledetectionandclassificationoverthevideostreams
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