Police Eyes: Real world automated detection of traffic violations

Marikhu, Ramesh; Moonrinta, Jednipat; Ekpanyapong, Mongkol; Dailey, Matthew N.; Siddhichai, Supakorn

doi:10.1109/ecticon.2013.6559635

Cited by 12 publications

(3 citation statements)

References 10 publications

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“…Police Eyes [15] is the real-time traffic surveillance system that is developed to enhance the automatic detection capability of traffic violations. To extract the foreground from the background in the scene obtained from IP cameras, they used the gaussian mixture model.…”

Section: A Traffic Violation and Border Controlmentioning

confidence: 99%

A survey of data mining techniques for analyzing crime patterns

Thongsatapornwatana¹

2016

2016 Second Asian Conference on Defence Technology (ACDT)

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In recent years the data mining is data analyzing techniques that used to analyze crime data previously stored from various sources to find patterns and trends in crimes. In additional, it can be applied to increase efficiency in solving the crimes faster and also can be applied to automatically notify the crimes. However, there are many data mining techniques. In order to increase efficiency of crime detection, it is necessary to select the data mining techniques suitably. This paper reviews the literatures on various data mining applications, especially applications that applied to solve the crimes. Survey also throws light on research gaps and challenges of crime data mining. In additional to that, this paper provides insight about the data mining for finding the patterns and trends in crime to be used appropriately and to be a help for beginners in the research of crime data mining.

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Section: A Traffic Violation and Border Controlmentioning

confidence: 99%

A survey of data mining techniques for analyzing crime patterns

Thongsatapornwatana¹

2016

2016 Second Asian Conference on Defence Technology (ACDT)

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“…According to Times of India report, the above statistics shows the number of violations since the year 2013 and corresponding penalties for every respective year where the year 2013 has minimum while 2017 has maximum violations. [1] which begin with background model to segment the foreground from the background in the scene. In this violation region is a solid line region on the road and region of interest specifies the area of the image that will be processed for violations.…”

Section: Introductionmentioning

confidence: 99%

Automatic Real Time System for Traffic Security and Violation Detection

Raj¹,

Dhormare²,

Yawale³

2018

IJTSRD

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According to UN report 2017, India currently has the second largest population in the world in that India has the world's largest youth population despite having a smaller population than China. We are considering youth because most of the fatal and non fatal type of accidents that we experience or encounter, contain highest rate of youth's lives. As population increase number of automobiles also increases. With the increase in automobiles, the traffic violation has increased exponentially due to lack of manpower and resources. The traffic law violations has become a major concern for fatal accidents. Since there are various resources available to detect the traffic violations but this requires the effect officer for holding the resources and maintaining the manual penalty system. In this we have come up with an alternative method using video processing technique which overcomes the drawbacks of manual system that will enforce people to follow the tr rules sincerely. The proposed system mainly aims to reduce the accident that happens due to traffic violation and also to provide safety to the human lives and vehicles in the accident prone zone.

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“…There are some studies involving image and video processing on traffic surveillance data, mostly used in traffic management systems. Some of these studies are as follows: automatic vehicle identification, 1 road capacity, 2 traffic density measurement, 3 speed detection, [4][5][6] traffic violation detection, 7 and specifying car categories. [8][9][10][11] Vehicle classification is a very important process in traffic management systems.…”

Section: Introductionmentioning

confidence: 99%

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

Kul

Eken

Sayar

2017

International Journal of Advanced Robotic Systems

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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.

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Police Eyes: Real world automated detection of traffic violations

Cited by 12 publications

References 10 publications

A survey of data mining techniques for analyzing crime patterns

A survey of data mining techniques for analyzing crime patterns

Automatic Real Time System for Traffic Security and Violation Detection

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

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