在此基础上，使用动态图像处理技术中的二维运动估计技术，结合背景更新模型提出了一种车辆跟踪算法。

On this basis, combined with one sort of background updating model, vehicle tracking algorithm is presented through using two-dimension motion estimation technique in dynamic image processing.

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本文研究了背景相减算法、差分法、基于光流场的运动估计和基于主动形状模型的目标跟踪算法。

In the thesis, the algorithm of background subtracting, frame difference algorithm, motion estimation based on optical flow field and object tracking based on active shape contour are investigated.

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针对静态背景下的背景差法，通过研究如何得到、以及如何及时更新背景模型，增强运动目标检测随环境变化的鲁棒性，提出了多级分块的背景估计方法。

Background estimation based on block is proposed to solve the problem of building background model and updating background which can enhance the robust of moving object detection.

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