Aiming at the distribution characteristic of pixel gray level in tested data, this paper proposes a valid and reliable searching and tracking policy for the object contour.
针对实验数据像素灰度的分布特点，提出了一种对目标轮廓线进行有效和可靠的搜索和跟踪策略。
Prior knowledge of the vehicles, such as shadows underneath the vehicles, rich edge information, contour symmetry, gray level symmetry, horizontal line symmetry and etc, is combined.
联合使用车底阴影、边缘信息、轮廓对称、灰度对称、水平线对称等车辆先验知识，提出一种基于特征的车辆检测方法。
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