In this paper, a vision-based real-time traffic analysis system is presented, which can analyze vehicles in traffic from a traffic video sequence. This paper discusses object detection, and tracking of objects in multiple video frames. The functionalities of traffic analysis using computer vision include vehicle speed estimation, traffic flow direction estimation, traffic density estimation and...

Despite the vast wealth of traffic data available, currently there is only limited integration, analysis and utilisation of data in the transport domain. Yet, accurate congestion and incident detection is vital for traffic network operators to allow them to mitigate the cost of traffic incidents. Recurrent (cyclical) traffic congestion tends to be managed using timetabled control measures or th...

This paper presents a description of a system supporting the detection of intrusions and network anomalies by analyzing and visualising traffic flows in computer networks. The system supervises the typical communication structure in the network and acts as an anomaly detection component of an Intrusion Detection System. Events are generated in the case of sudden variations of the traffic struct...

This paper describes a 2D motion detection method developed for a road traffic monitoring system. Such systems collect data allowing the management of traffic, increasing road security and traffic capacity. The objective of the development of this method was to allow the construction of a road traffic monitoring system that would work in real time, based on low cost hardware, namely a video cam...

This paper presents an accurate and efficient traffic state detection system that is implemented on smart cameras. Our video analysis method employs feature tracking and edge information along with the camera calibration parameters for periodic level of service (LOS) measurements. After a calibration using the known lengths of lane markings, the smart cameras perform the LOS estimation onboard ...

Almost every Internet communication is preceded by a translation of a DNS name to an IP address. Therefore monitoring of DNS traffic can effectively extend capabilities of current methods for network traffic anomaly detection. In order to effectively monitor this traffic, we propose a new flow metering algorithm that saves resources of a flow exporter. Next, to show benefits of the DNS traffic ...

Real-world constraint problems abound with uncertainty. Problems with incomplete or erroneous data are often simplified at present to tractable deterministic models, or modified using error correction methods, with the aim of seeking a solution. However, this can lead us to solve the wrong problem because of the approximations made, an outcome of little help to the user who expects the right pr...

Traffic lights play an imperative role in traffic management. Traffic lights play an important role in the traffic management. Existing Automatic Traffic Light Violation Detection System is based on the camera’s to detect the violator. This system has a number of limitations like blurry image due to motion , poor image resolution because the number plate is far away, poor lightening, different ...

Despite the long literature and assorted list of proposed systems for performing detection and classification of anomalies in operational networks, Internet Service Providers (ISPs) are still looking for effective means to manage the ever-growing number of network traffic anomalies they face in their daily business. In this paper we address the problem of automatic network traffic anomaly detec...

Distributed network traffic anomaly refers to a traffic abnormal behavior involving many links of a network and caused by the same source (e.g., DDoS attack, worm propagation). The anomaly transiting in a single link might be unnoticeable and hard to detect, while the anomalous aggregation from many links can be prevailing, and does more harm to the networks. Aiming at the similar features of d...