Recognition method of license plate for black box video using Apache Kafka

Seong Hu Hong; Sang Won Jung; Chang-Sung Jeong

doi:10.23919/ELINFOCOM.2018.8330552

Recognition method of license plate for black box video using Apache Kafka

Seong Hu Hong, Sang Won Jung, Chang-Sung Jeong

School of Electrical Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

2 Citations (Scopus)

Abstract

With the increase in the number of images from various channels such as a vehicle's black box, CCTV and drone, the amount of data related to the vehicles and the traffic situations is also explosively increasing. Also, the greatly increased image data analysis is further emphasizing the importance of large-scale image data processing. In this regard, this study proposed and designed a distribution system using Kafka. For high-speed processing of data, black box image frames were distributed to several nodes using Kafka, a real-time message distribution processing system. Moreover, by setting the frame of black box image as input to each node, the localization of car license plates through image processing, and segmented character recognition were explored.

Original language	English
Title of host publication	International Conference on Electronics, Information and Communication, ICEIC 2018
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	1-3
Number of pages	3
Volume	2018-January
ISBN (Electronic)	9781538647547
DOIs	https://doi.org/10.23919/ELINFOCOM.2018.8330552
Publication status	Published - 2018 Apr 2
Event	17th International Conference on Electronics, Information and Communication, ICEIC 2018 - Honolulu, United States Duration: 2018 Jan 24 → 2018 Jan 27

Other

Other	17th International Conference on Electronics, Information and Communication, ICEIC 2018
Country/Territory	United States
City	Honolulu
Period	18/1/24 → 18/1/27

Keywords

Clustering
distributed image processing
Kafka
Recognition

ASJC Scopus subject areas

Information Systems
Computer Networks and Communications
Computer Science Applications
Signal Processing
Electrical and Electronic Engineering

Access to Document

10.23919/ELINFOCOM.2018.8330552

Cite this

Recognition method of license plate for black box video using Apache Kafka. / Hong, Seong Hu; Jung, Sang Won; Jeong, Chang-Sung.

International Conference on Electronics, Information and Communication, ICEIC 2018. Vol. 2018-January Institute of Electrical and Electronics Engineers Inc., 2018. p. 1-3.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Hong, SH, Jung, SW & Jeong, C-S 2018, Recognition method of license plate for black box video using Apache Kafka. in International Conference on Electronics, Information and Communication, ICEIC 2018. vol. 2018-January, Institute of Electrical and Electronics Engineers Inc., pp. 1-3, 17th International Conference on Electronics, Information and Communication, ICEIC 2018, Honolulu, United States, 18/1/24. https://doi.org/10.23919/ELINFOCOM.2018.8330552

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title = "Recognition method of license plate for black box video using Apache Kafka",

abstract = "With the increase in the number of images from various channels such as a vehicle's black box, CCTV and drone, the amount of data related to the vehicles and the traffic situations is also explosively increasing. Also, the greatly increased image data analysis is further emphasizing the importance of large-scale image data processing. In this regard, this study proposed and designed a distribution system using Kafka. For high-speed processing of data, black box image frames were distributed to several nodes using Kafka, a real-time message distribution processing system. Moreover, by setting the frame of black box image as input to each node, the localization of car license plates through image processing, and segmented character recognition were explored.",

keywords = "Clustering, distributed image processing, Kafka, Recognition",

author = "Hong, {Seong Hu} and Jung, {Sang Won} and Chang-Sung Jeong",

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booktitle = "International Conference on Electronics, Information and Communication, ICEIC 2018",

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AU - Hong, Seong Hu

AU - Jung, Sang Won

AU - Jeong, Chang-Sung

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N2 - With the increase in the number of images from various channels such as a vehicle's black box, CCTV and drone, the amount of data related to the vehicles and the traffic situations is also explosively increasing. Also, the greatly increased image data analysis is further emphasizing the importance of large-scale image data processing. In this regard, this study proposed and designed a distribution system using Kafka. For high-speed processing of data, black box image frames were distributed to several nodes using Kafka, a real-time message distribution processing system. Moreover, by setting the frame of black box image as input to each node, the localization of car license plates through image processing, and segmented character recognition were explored.

AB - With the increase in the number of images from various channels such as a vehicle's black box, CCTV and drone, the amount of data related to the vehicles and the traffic situations is also explosively increasing. Also, the greatly increased image data analysis is further emphasizing the importance of large-scale image data processing. In this regard, this study proposed and designed a distribution system using Kafka. For high-speed processing of data, black box image frames were distributed to several nodes using Kafka, a real-time message distribution processing system. Moreover, by setting the frame of black box image as input to each node, the localization of car license plates through image processing, and segmented character recognition were explored.

KW - Clustering

KW - distributed image processing

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KW - Recognition

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Recognition method of license plate for black box video using Apache Kafka

Abstract

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Keywords

ASJC Scopus subject areas

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