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.
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.
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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