In this report we present the rst results of a very eecient scheme for vehicle detection in traac scenes. It is based on the detection of the shadows underneath the vehicles. The use of shadow as sign pattern was rst reported in 5]. Herein a histogram evaluation of the paved road sustains the speciication of a threshold value for the shaded areas. This threshold along with edge information lead...

Knowing the location of the road in an intelligent traffic systems is one of the most used solutions to ease vehicle detection. For this purpose we propose a vehicle recognition algorithm which performs a real time automatic detection of the zones which vehicles occupy. Such algorithm is capable of functioning under extreme conditions such as low resolution, low capture angle and gray scale ima...

Intelligent Transportation Systems (ITS) are cost-effective measures to manage congestion due to increasing demand by improving the efficiency of existing transportation infrastructure. Traffic detection and surveillance play a pivotal role in deploying these technologies in the field. This dissertation continues the work that has been done in recent years in relation to the use of wireless mag...

An automatic road sign detection system localizes road signs from within images captured by an on-board camera of a vehicle, and support the driver to properly ride the vehicle. Most existing algorithms include a preprocessing step, feature extraction and detection step. This paper arranges the methods applied to road sign detection into two groups: general machine learning, neural networks. In...