ID 原文 译文
50727 设置去偏转换测量算法， set to partial transformation measurement algorithm,
50728 克服了球坐标系与直角坐标系的转换偏差问题。 overcame the ball coordinate system and right Angle coordinate system conversion of the deviation problem.
50729 仿真实验表明，该算法在初值敏感性和相对机动恢复性上均强于其他算法， Simulation results show that the proposed algorithm on the initial value sensitivity and relative motor recovery is stronger than the other algorithms,
50730 适用于脉冲推力、有限推力等多种情况下机动航天器间精确动态相对定位。 suitable for impulse thrust, a variety of circumstances such as limited thrust between motor vehicle dynamic relative positioning precision.
50731 在基于直方图的序列图像目标跟踪算法中，目标的直方图通常都是在跟踪初始化时从目标所在的区域获得， In the sequence image target tracking algorithm based on histogram, target histogram is usually in tracking initialization time obtained from the target area,
50732 然而单个直方图难以适应跟踪全过程中目标的各种变化。 however, a single histogram is difficult to adapt to track the whole process of all kinds of changes in the target.
50733 针对事先已知目标几种典型外观的跟踪问题，提出了一种基于粒子滤波器的多直方图尺度空间跟踪算法。 For several typical appearance of known to target tracking problem, this paper proposes a multiple histogram scale space based on particle filter tracking algorithm.
50734 利用多个典型直方图的线性加权来表示目标的直方图， Using several typical histogram linear weighted histograms to represent the goals,
50735 根据目标的当前区域估计加权系数，生成下一帧的目标概率分布图， estimate the weighted coefficient according to the target of the current area, to generate the next frame target probability distribution,
50736 在目标概率分布图上运用尺度空间粒子滤波器，来估计多尺度规范化Laplacian滤波函数的极值，从而实现目标的定位。 using scale space on target probability distribution of the particle filter, for estimation of multi-scale normalized Laplacian filtering function extreme value, thus achieve the goal of positioning.