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With TerraSAR-X and RADARSAT-2, two dual-channel SAR satellites will be launched in the next months. Both sensors allow for detecting moving objects, and, by this, enable traffic monitoring from space...
Vehicle detection is motivated by different fields of application, e.g. traffic flow management, road planning or estimation of air and noise pollution. Therefore, an algorithm that automatically dete...
With TerraSAR-X and RADARSAT-2, two dual-channel SAR satellites will be launched in the next months. Both sensors allow for detecting moving objects, and, by this, enable traffic monitoring from space...
Vehicle detection is motivated by different fields of application, e.g. traffic flow management, road planning or estimation of air and noise pollution. Therefore, an algorithm that automatically dete...
Moving vehicle detection has become increasingly important in transportation management and road infrastructure development. State-of-the-art moving vehicle detection techniques require multi-frame i...
Due to increasing traffic there is high demand in traffic monitoring of densely populated urban areas. In our approach we focus on the detection of vehicle queues and use a priori information of roads...
In this paper airborne thermal videos are used to detect vehicles. The movement of the camera is estimated from the optical flow using projective planar homographies as transformation model. A three l...
In the study, we proposed new algorithm of stopped vehicle detection using Three Line Scanner Imagery or TLS briefly. A framework of our study consists of three stages: Pre-processing , Moving/Stopp...
Airborne laser scanning has established itself as a dominant technology providing high quality surface data for a variety of applications. LiDAR has substantially widened the use of mapping, for insta...
This paper introduces a new approach to automatic vehicle detection in monocular high resolution aerial images. The extraction relies upon both local and global features of vehicles and vehicle queue...
This paper addresses the problem of vehicle detection from an image sequence in difficult cases. Difficulties are notably caused by relatively small vehicles, vehicles that appear with low contrast or...
Over the last few years, the increased availability of high resolution remote sensing imagery has opened new opportunities for road traffic monitoring applications. Vehicle detection from satellite im...
Caused by the rising interest in traffic surveillance for simulations and decision management many publications concentrate on automatic vehicle detection or tracking. Quantities and velocities ...
Derivation of statistical traffic data is highly dependent on the balance of detection and false alarm rates. In case false alarms have not been eliminated in the initial detection phase, they are o...

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