有限状态机在夜间车辆检测上的应用

Application of Finite State Machine in Nighttime Vehicle Detection

为了有效地解决夜间车辆检测这一难题,提出了一种新颖的基于有限状态机的夜间车辆检测算法。该算法将车辆检测的问题转变成一个有序状态转换的模型,即检测所选择区域内的车辆到达、车辆移动和车辆离开。先计算所选区域内的明亮像素点的数量以及他们之间的差异,然后将结果输入到所提出的状态机来检测车辆,最后输出检测结果。实验结果证明,该算法简单且易于实现,对检测夜间道路车辆有很强的鲁棒性。

In order to solve the problem of nighttime vehicle detection, a novel vision-based night- time vehicle detection approach is presented. In the proposed approach, vehicle detection is modeled as a sequential state transition problem, that is, vehicle arrival, moving, and departure at a chosen detection area. The number of bright pixels and their differences in a chosen area of interest are calculated and fed into the proposed state machine to detect vehicles, and vehicle arrival or departure results are reported as an output. Simulation results show that the proposed system is simple and robust and can be applica- ble for nighttime vehicle detection systems.