ID 原文 译文
12144 六自由度仿真结果表明了该制导律的有效性。 Simulation results show the effectiveness of the proposed guidance law.
12145 在线多示例目标跟踪算法无法判别目标丢失以及无法适应目标尺度的变化。 Online sample target tracking algorithm can't distinguish more lost and unable to adapt to changes in the target dimension.
12146 提出了一种基于视觉字典的在线多示例目标跟踪算法。 ‭Put forward a kind of online sample more target tracking algorithm based on visual dictionary.
12147 算法将视觉字典和多示例跟踪分别作为检测器和跟踪器,利用互反馈技术提高跟踪性能。 ‭Algorithm and the visual dictionary more sample tracking as a detector and tracker, respectively using mutual feedback technology to improve the tracking performance.
12148 跟踪器完成目标的跟踪并为视觉字典的构建和更新提供训练样本;‭ ‭Tracking target tracking and provide visual dictionary construction and update the training sample; ‭
12149 检测器则对跟踪器的结果(候选样本)进行判定,目标丢失时,暂停跟踪并重新检测目标,目标未丢失时,利用Ransac算法获得目标的尺度变换系数并在新尺度下更新跟踪器。 Detector is the results of the tracker to identify (candidate), the target is lost, the suspension of target tracking and detection, the target is not lost, use Ransac algorithm to obtain the scale of the target transform coefficient and update the tracker in the new scale.
12150 为了提高目标丢失判别的准确性,提出了一种局部随机抽样的直方图相似性度量技术。 ‭In order to improve the accuracy of target loss criterion, this paper proposes a local histogram similarity measure technology of random sampling.
12151 采用局部划分思想和Noisy-NR模型计算候选样本与训练样本特征直方图的相似性,减少了传统直方图匹配由于受目标局部遮挡影响造成的误判。 The idea of local division and Noisy - NR model candidate sample and training sample feature histogram similarity, reduces the traditional histogram matching due to the effect of target partial shade caused by misjudgment.
12152 实验结果表明,该算法能够适应目标的尺度变化,检测目标的丢失,提高了跟踪稳定性。 ‭The experimental results show that the algorithm can adapt to the change of the scale of the target, detect the loss of the target, improve the tracking stability.
12153 针对图像加性高斯白噪声,提出一种优化的自适应参数滤波算法。 Additive white gaussian noise on images, put forward a kind of optimization parameters adaptive filtering algorithm.