Existing methodologies to count vehicles from a road image have depended upon both
hand-crafted feature engineering and rule-based algorithms. These require many …

It is important to know the road traffic density real time especially in mega cities for signal
control and effective traffic management. In recent years, video monitoring and surveillance …

Adaptive traffic signal control system is needed to avoid traffic congestion that has many
disadvantages. This paper presents an adaptive traffic signal control system using camera …

This article presents a visual application which allows a study and analysis of traffic behavior
on major roads (more specifically freeways and highways), using as the main surveillance …

Traffic accidents occur due to the deterioration of road structures, this poor condition can lie
in the low quality of its components, climatic changes, seismic zones, heavy cargo transport …

In this paper, a new approach to real-time people segmentation through processing images
captured by an infrared camera is introduced. The approach starts detecting human …

This paper introduces a multi-agent system (MAS) approach using the detailed process
provided by Prometheus methodology for the design of a moving robot application for the …

In recent years, video processing have been widely used in traffic management. Vehicle
detection and vehicle classification using neural network (NN), can be achieved by video …

The sky may seem big enough for two flying vehicles to collide, but the facts show that mid-
air collisions still occur occasionally and are a significant concern. Pilots learn manual …

Depth inclusion as an important parameter for dynamic selective visual attention is
presented in this article. The model introduced in this paper is based on two previously …