ID |
原文 |
译文 |
22285 |
首先,利用相邻位置的信号信息构建运动序列数据库。 |
Firstly, the signal information among adjacent positions is utilized to construct Reference Signal Receiving Power (RSRP) motion sequence database. |
22286 |
其次,通过相关性测序算法,得到在线接收信号参考强度(RSRP)序列与运动序列间的匹配度,确定备选定位序列集。 |
Next, correlation sequencing algorithm is conducted to obtain relation between real-time RSRP sequence and the ones in constructed database, which results in a set of candidate sequence. |
22287 |
然后,计算备选定位序列与在线 RSRP 序列间的相关系数及平均欧氏距离。 |
After that, the correlation coefficient and mean Euclidean distance between candidate sequences and the online one are calculated. |
22288 |
最后,根据匹配度、相关系数及平均欧氏距离,选取最优备选定位序列,实现对目标的位置估计。 |
Finally, the optimal candidate sequence is selected by a voting strategy to estimate target's position. |
22289 |
实验结果表明,该文所提定位算法有效提高了室内分布式天线系统下的定位精度。 |
Experimental results show that the proposed localization algorithm can effectively improve the localization accuracy within indoor distributed antenna system. |
22290 |
该文针对畸变严重的鱼眼图像中的目标跟踪,提出一种能适应尺度变化、姿态变化以及形状畸变的鱼眼视频目标跟踪的方法。 |
For object detection in fisheye images which present serious distortion, an object tracking method is proposed to deal with scale variance, pose change and distortion. |
22291 |
该方法首先将灰度特征和相对梯度特征相结合得到目标的高维特征,然后对其平均降维得到目标的压缩特征。 |
Firstly, gray feature and gradient feature are combined to obtain a high dimensional feature of the target, then reduce its dimensionality by averaging to obtain target's compressive feature. |
22292 |
并根据鱼眼成像模型得到投影点的运动特性,确定目标的运动范围。 |
According to fisheye imaging model, motion of object point is modeled, and range of motion of target is "predicted". |
22293 |
为了适应尺度变化,在块匹配运动估计思想的基础上,对目标跟踪框的顶点分别进行由粗到精的定位,并在此过程中根据跟踪框的尺度相应改变压缩特征的尺度。 |
In order to adjust to scale variance, corner points are positioned respectively in a coarse to fine manner based on the block matching motion estimation, and the scale of compressed feature is changed along with scale change of object box. |
22294 |
实验结果表明:该算法在目标畸变、尺度变化、姿态变化以及局部遮挡等情况下,判断指标均优于其他对比算法。 |
Experimental results show that the proposed algorithm is superior to other algorithms in the case of distortion, scale change, pose change and part occlusion. |