矿用电机车行人安全预警系统

Pedestrian Safety Warning System of Mine-used Electric Locomotive

摘要: 提出了一种基于图像处理的矿用电机行人安全预警系统,系统以TMS320DM642为核心，结合视频采集等相关外围电路完成硬件电路设计;采用梯度方向直方图（HOG）加支持向量机（SVM）的行人识别算法，在OPENCV平台下实现电机车前行轨道上的行人预警。实验结果表明，系统行人识别精度高，可以有效防止电机车伤人事故的发生。

Abstract: his article proposed a mine-used electric locomotive pedestrian safety warning system based on image processing. The system used TMS320DM642 as the core to complete hardware design which combined with video capture and other related peripheral circuits. It adopted the pedestrian recognition algorithm of gradient orientation histogram (HOG) as well as support vector machine (SVM), and realized electric locomotive pedestrian warning on the forward track in OPENCV platform. The experimental results showed that this system had the high accuracy of pedestrian recognition and could prevent locomotive accident injuries effectively.