This paper presents a new technique for vehicle detection from aerial imagery. The proposed technique is simple but more effective than some of the existing techniques reported earlier. This research involves an overall cascade system that concentrates on vehicle detection mainly in rural and dense environments. This research uses and compares between certain feature extraction techniques and s...

In an upcoming smart transportation environment, performance evaluations of existing Vehicle Detection Systems are crucial to maintain their accuracy. The existing evaluation method for Vehicle Detection Systems is based on a wired Vehicle Detection System reference and a video recorder, which must be operated and analyzed by capable traffic experts. However, this conventional evaluation system...

As the traffic problems in urban areas are going to increase traffic surveillance systems based on video are attracted over past decades. These systems are very much useful to monitor and manage various traffic conditions such as traffic management, prevention of accident, also secure transportation .Within this vehicle speed determination on the road is one of the aim. So the vehicle speed det...

Vehicle detection and tracking applications play an important role for civilian and military applications such as in highway traffic surveillance control, management and urban traffic planning. Vehicle detection process on road are used for vehicle tracking, counts, average speed of each individual vehicle, traffic analysis and vehicle categorizing objectives and may be implemented under differ...

Vehicle detection and tracking applications play an important role for civilian and military applications such as in highway traffic surveillance control, management and urban traffic planning. Vehicle detection process on road are used for vehicle tracking, counts, average speed of each individual vehicle, traffic analysis and vehicle categorizing objectives and may be implemented under differ...

This paper presents a morphological neural network approach to extract vehicle targets from high resolution panchromatic satellite imagery. In the approach, the morphological shared-weight neural network (MSNN) is used to classify image pixels on roads into vehicle targets and non-vehicle targets, and a morphology based preprocessing algorithm is developed to identify candidate vehicle pixels. ...