Detecting anomalies such as rule violations, accidents, unusual driving and other suspicious
action increase the need for automatic analysis in Traffic Video Surveillance (TVS). Most of …

This paper presents an approach to evaluate traffic-flow parameters under urban road
environment. Virtual line based time-spatial images are used for vehicles counting. Three …

Moving vehicle detection in digital image sequences is one of the key technologies of
Intelligent Transportation Systems (ITS). Traffic Surveillance System is being more and …

Motion detection methods are widely integrated in modern intelligent video surveillance
systems. Many of these methods use background subtraction techniques to separate the …

This paper reports on the first steps taken in search of a solution that uses public video
streams available on the Internet to address the increasing need for monitoring …

Overloaded vehicles such as large cargo trucks tend to cause large traffic accidents. Such
traffic accidents often bring high mortality rates, including injuries and deaths, and cause …

Calculating of vehicles density in traffic images is a challenging research topic as it has to
directly deal with hostile but realistic conditions on the road, such as uncontrolled …

This thesis addresses the problem of ground collisions between an aircraft and obstacles
(including other aircraft) on the ramp and taxiway regions of an airfield. A safety study is …

A main activity of many computer vision systems is foreground object detection. Motion is
used in a video sequences to identify target objects. Many background subtraction methods …

Due to the poor quality of thermal infrared imagery and the great variation of human
subjects, segmentation of human subjects is difficult in the thermal infrared images acquired …