车辆交通事故视频监测算法研究

Research on Video Detection Algorithm of Vehicle Traffic Accident

为快速准确地检测出车辆交通事故的发生,本文提出一种基于计算机视觉和图像处理技术的事故监测算法.统计发现车辆交通事故中会因碰撞伴随产生烟雾、碎片,同时车辆的运动速度会发生锐减.故通过提取交通监控视频中的烟雾、碎片和运动目标速度的变化等参数,结合麦夸特法进行公式拟合可得到交通事故发生概率公式,并计算出事故发生概率.实验结果表明,这种方法能有效地监测出车辆交通事故,检测准确率达89.4%,验证了算法的有效性.此方法应用在智能交通系统中将能及时监测到事故发生,可为后续事故处理赢得时间,故有一定的实用价值.

In order to detect the vehicle traffic accident quickly and accurately, a method based on Computer vision and image processing technology was proposed. The result showed that Vehicle traffic accidents will produce smoke, debris and vehicle velocity will drop drastically. Detected the parameters of the smoke, debris and the change of vehicle velocity in the traffic surveillance video. Combined with the Marquardt method to fit formula and got the traffic accident probability formula. Then calculated the probability of an accident. Experiments showed that： the proposed method can detect the vehicle traffic accident effectively, the detection accuracy rate can reach 89.4 % which verified the effectiveness of the method. By using this method in the intelligent transportation system, it will be effective in win the time for subsequent accident treatment which reflected the practical value.