In this paper we proposed an Automatic Vehicle detection system for aerial surveillance. In this system, a pixel wise classification approach for vehicle detection is proposed. From the surviving framework of vehicle detection in aerial surveillance, classifications based on region and sliding window are escaped. Since the main disadvantage is that a vehicle tends to be divided as different reg...

Wheeler-Classified Vehicle Detection System is the implementation to check whether vehicle is two-wheeler or four-wheeler from the ordinary traffic images captured through CCTV cameras installed at crossings along a particular road at an instant which is an important task in Intelligent Transportation Systems (ITS). The key contribution of this work are the introduction of methodology to reflec...

This paper presents a stereo vision system for vehicle detection. It has been conceived as the integration of two different subsystems. Initially a stereo vision based system is used to recover the most relevant 3D features in the scene; due to the algorithm’s generality, all the vertical features are extracted as potentially belonging to a vehicle in front of the vision system. This list of si...

The Intelligent Transportation System (ITS) provides services related to different modes of transport and traffic management systems with an integration of traffic control centers. Video-Based investigation for traffic surveillance has been a vital part of ITS. The traffic surveillance in urban environment have become more challenging compared to the highways due to various factors like camera ...

A vehicle detection plays an important role in the traffic control at signalised intersections. This paper introduces a vision-based algorithm for vehicles presence recognition in detection zones. The algorithm uses linguistic variables to evaluate local attributes of an input image. The image attributes are categorised as vehicle, background or unknown features. Experimental results on complex...