| Summary: | 碩士 === 淡江大學 === 資訊工程學系碩士在職專班 === 95 === This paper presents a real-time system of vehicle detection, tracking and counting. Image sequences are from the road side camera in the freeway. There are two main stages in this system.
Stage 1. Vehicle detection. We use Image subtraction to show the difference between background and vehicle, then segment difference image to separated vehicle and background. Use Morphology to combine region which belong to the same vehicle. Connected component labeling and fill is to fill each region, and then region’s centroid can be more accuracy.
Stage 2. In image sequences, each region in the image have difference feature. Use each region’s centroid, length, width and area to match region between two image sequences. If every region matches success, then we can use match region’s centroid to draw trajectory.
In the Experimental result, if not traffic jams, accuracy can be more than 90%; each frame average execution time is less than 58.13 ms, lower than image need execution time 66.66ms. So this system is a workable and real-time system.
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