Hung-Tsung Chen

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This paper proposes a vision-based motorcycle monitoring system to detect and tracking motorcycles. The system proposes an occlusion detection and segmentation method. The method uses the visual length, visual width, and Pixel Ratio to detect the classes of the motorcycle occlusions and segment the motorcycle from each occlusive class. Because the(More)
Although the motorcycle is a popular and convenient means of transportation, it is difficult for researchers in intelligent transportation systems to detect and recognize, and there has been little published work on the subject. This paper describes a real-time motorcycle monitoring system to detect, recognize, and track moving motorcycles in sequences of(More)
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