A graphical method for detection of Flash Crowds in traffic

Marat Zhanikeev; Yoshiaki Tanaka

doi:10.1007/s11235-013-9768-0

A graphical method for detection of Flash Crowds in traffic

Marat Zhanikeev, Yoshiaki Tanaka

School of Fundamental Science and Engineering

Research output: Contribution to journal › Article › peer-review

1 Citation (Scopus)

Abstract

Majority of traffic analysis tools today are based on NetFlow technology including its more recent successor, IPFIX protocol. Even with the flexibility of IPFIX in mind, processing traffic in realtime is still difficult. Given the urgent need for lightweight methods in the area, this paper is crossing inter-disciplinary borders to find a solution. Specifically, this paper looks into a possibility of applying video compression to 2D visualization of traffic in search for anomalies. The proposed method is applied to detection of Flash Crowds in traffic and is found successful when compared to other methods.

Original language	English
Pages (from-to)	91-105
Number of pages	15
Journal	Telecommunication Systems
Volume	57
Issue number	1
DOIs	https://doi.org/10.1007/s11235-013-9768-0
Publication status	Published - 2014 Sep

Keywords

Anomaly detection
Flash Crowd
Traffic analysis
Video compression

ASJC Scopus subject areas

Electrical and Electronic Engineering

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A graphical method for detection of Flash Crowds in traffic

Abstract

Keywords

ASJC Scopus subject areas

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