使用图像处理的智能信号量

R. Osorio-Comparán, M. Peña-Cabrera, I. López-Juárez, G. Lefranc, R. Tovar-Medina
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引用次数: 0

摘要

本文提出了一种智能交通灯系统,该系统可以使由两条单行道组成的汽车交叉口实现最优流量。为了达到这一目的,采用实时图像处理来获取车辆的计数和占用的空间。采用背景减法和KNN (K-Nearest Neighbor)算法来确定街道上的拥堵车辆;使用了OpenCV的库。获得的结果提供了更大的易用性和响应时间。
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Smart semaphore using image processing
The article presents an intelligent traffic light system that allows optimal flow in a car crossing composed of two one-way streets. To achieve this purpose, real-time image processing is used to obtain the counting and space occupied by the vehicles. The algorithms of Backgroud Subtraction and KNN (K-Nearest Neighbor) are used, to determine the congestion vehicular in a street; the libraries of OpenCV are used. The results obtained give a greater ease and response time.
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