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Based on the requirement of real-time on road vehicle detection from a moving camera, a feature based rear of vehicle detection algorithm is developed. A Haar-like feature classifier is trained to capture the rear of vehicles from the video stream in real-time and a premier test is performed. Aiming at some issues found in the test, which include duplicated detection, false alarms, undetected objects...
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