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A Vehicle Detection Method via Symmetry in Multi-Scale Windows

机译:多尺度窗口对称的车辆检测方法

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A novel method based upon multi-scale windows for efficient detection of the vehicles is described in this paper. This method presumes that the local image of the vehicle is the most symmetrical on the center of vehicle while the least symmetrical on the edge of vehicle. However, the symmetrical value of the center of the vehicle would not be the only maximum value in the actual images, which causes troubles in locating vehicles. We present a new method based on multi-scale windows in which both the symmetry axis and the edges of the vehicle can be detected simultaneously. We also concocted a strategy of sequential processing in order to improve the detection. Experimental results shows that our algorithm performances well in detecting vehicles in front of our mobile.
机译:本文描述了一种基于多尺度窗口的新型方法,用于有效检测车辆。该方法假设车辆的局部图像在车辆中心是最对称的,而车辆边缘最小对称。然而,车辆中心的对称值不是实际图像中的唯一最大值,这导致定位车辆中的麻烦。我们提出了一种基于多尺度窗口的新方法,其中可以同时检测对称轴和车辆的边缘。我们还编写了顺序处理的策略,以改善检测。实验结果表明,我们的算法在检测我们手机前的车辆中的表现很好。

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