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In this paper, we propose a real-time architecture of multiple features extraction for vehicle verification. First, we set a range of YCbCr values to extract the pixels belonging to vehicle back lights. The density of light is computed by the number of the extracted pixels, and considered as the first feature. The second feature is the location of license plate. It is determined by Searching Area...
License plate recognition (LPR) systems have attracted the community to expand its benefit and usefulness. It gives easiness to keep tracks of the vehicles that enter and exit the same place. This success is influencing the people to develop mobile LPR systems. In the mobile LPR system, the camera is installed on a vehicle such as the police officer's car. In such systems, the problem is more challenging...
Driver assistance system enhances traffic safety and efficiency. Accurate 3D pose of front vehicle can help driver to make right decisions on road. We propose a novel real-time system to estimate 3D pose of the front vehicle. This system consists of two parallel threads: vehicle rear tracking and mapping. Vehicle rear is firstly identified in the video captured by an on-board camera, after license...
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