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首页> 外文会议>2012 6th International Conference on New Trends in Information Science, Service Science and Data Mining >Vehicular separation by thermal features' relative angle for nighttime traffic
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Vehicular separation by thermal features' relative angle for nighttime traffic

机译：夜间交通按热特征的相对角度进行的车辆分离

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摘要

This paper presents a thermal features' relative angle method to separate vehicles for nighttime traffic. The objective of research is to identify and separate vehicles that have ambiguous thermal features. The features comprising of windscreen, engine heat and elsewhere, are depicted as different intensities in each thermal image. Moreover, the relation between the three features observed from the set-up camera can be illustrated as an angle of windscreen to heat, which differentiates one group of vehicles from another. There are three operating modules proposed in this research, comprising vehicle-thermal features detection, relative angle calculation and seperation, respectively. Initially, the detecting process finds a vehicle engine heat-feature by subtracting the road's intensity, selecting a suspected area to cover the vehicle's windscreen feature. Secondly, the relative angle calculating model is implemented to find a relative angle. Eventually, the decision of vehicular group is made on the angle by the separating module. Experimentally, using three types of vehicle consisting of a car, van, and truck, the accuracy of separation is extremely high.
机译：本文提出了一种热特征的相对角度方法来分离夜间行车的车辆。研究的目的是识别和分离具有模糊热特征的车辆。在每个热图像中，包括挡风玻璃，发动机热量和其他因素的特征被描绘为不同的强度。此外，可以将设置相机观察到的三个特征之间的关系表示为挡风玻璃与热的角度，这将一组车辆与另一组车辆区分开。本研究提出了三个操作模块，分别包括车辆热特征检测，相对角度计算和分离。最初，检测过程通过减去道路强度，选择可疑区域来覆盖汽车的挡风玻璃特征，从而找到汽车发动机的热特征。其次，建立相对角度计算模型以求出相对角度。最终，由分离模块根据角度确定车辆组。实验上，使用由小汽车，厢式货车和卡车组成的三种类型的车辆，分离的精度非常高。

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