本文提出了一种运用时空域信息优化的虚拟检测线组式视频车辆检测算法。

This paper presents a vision vehicle detection algorithm based on virtual detection line group, which is optimized with space-time domain information.

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另外，为了考察图像的空域信息，本文提出了两个统计特征：局部匹配度特征和局部最大平均差分特征。

In addition, taking spatial information into account, two statistical features were presented: local matching degree and local Max average difference.

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将空域信息引入时域的盲源分离算法，提出了一类水声基阵盲源分离的时空域算法，限定了算法的空域搜索范围，加快了算法的收敛速度。

Incorporating spatial information into BSS algorithms, a class of time-spatial algorithms is derived, which restrict the search range in spatial and improved the convergence rate.

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