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VEHICLE DETECTION METHOD USING MULTI-SCALE MODEL

机译:多尺度模型的车辆检测方法

摘要

The present invention relates to the technical field of vehicle detection, in particular to a vehicle detection method using a multi-scale model. The present invention comprises three steps: multi-scale model construction, multi-scale model learning, and vehicle detection. Multi-scale model construction is realized by utilizing more than two different mixed image templates; multi-scale model learning means picking up vehicle images from actual traffic images as training graphics, and studying edge blocks, texture blocks, color blocks, flatness blocks and images likelihood of the mixed image templates; vehicle detection means performing template matching on traffic images by utilizing the mixed image templates so as to detect target vehicles. The present invention has advantages such as adapting to various weather conditions, to a certain degree of vehicle deformation and the like, is particularly capable of accurately detecting vehicles at different distances from a camera, and can be applied to detecting vehicles in a video.
机译:本发明涉及车辆检测技术领域,尤其涉及一种使用多尺度模型的车辆检测方法。本发明包括三个步骤:多尺度模型构建,多尺度模型学习和车辆检测。通过使用两个以上的不同混合图像模板来实现多尺度模型构建;多尺度模型学习是指从实际交通图像中提取车辆图像作为训练图形,并研究边缘块,纹理块,颜色块,平坦度块以及混合图像模板的图像似然性;车辆检测是指利用混合图像模板对交通图像进行模板匹配,以检测目标车辆。本发明具有诸如适应各种天气条件,一定程度的车辆变形等的优点,特别是能够精确地检测距照相机不同距离的车辆,并且能够应用于检测视频中的车辆。

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