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本文给出了一个在电视相继帧内场景亮度变化对运动物体的运动参数影响的模型。基于该模型,得到了关于运动参数估计的算法。除估计运动的位移外,还估计了由于场景亮度变化引起同一物理点灰度的增值。计算机模拟表明,该算法精度高、收敛性好。由于考虑了场景影响,使运动估计更趋于实际。
This paper presents a model of the effect of scene brightness changes on the motion parameters of moving objects in successive television frames. Based on the model, an algorithm for estimating motion parameters is obtained. In addition to estimating the displacement of the motion, the gray value of the same physical point due to the variation of the scene brightness is also estimated. Computer simulation shows that the algorithm has high accuracy and good convergence. Due to the scene impact, the motion estimation is more realistic.