ID 原文 译文
39106 针对Staple算法中梯度直方图(HOG)特征和颜色直方图特征的融合无法自适应达到最优化的问题，本文提出了一种颜色自适应的核相关滤波目标跟踪改进算法，即Stronger-Staple算法(简称STR-Staple)。 Aiming at the problem that the fusion of the gradient histogram(HOG) feature and the color histogram feature in the Staple algorithm cannot be adaptively optimized, the paper proposes an improved color adaptive kernel-correlation filtering object tracking algorithm, namely the Stronger-Staple algorithm(STR-Staple for short).
39107 首先，本文用目标似然函数分别求出目标和背景所占比例的颜色直方图，并用巴氏系数实时测量目标与背景的颜色直方图的相似度，实现每一帧图像的跟踪监测; First, the paper uses the object likelihood function to obtain the color histograms of the object and the background, respectively, and uses the Bhattacharyya coefficient to measure the similarity of the color histogram of the object and the background in real time to achieve the tracking and monitoring of each frame of image.
39108 其次，提出一种自适应的融合系数，将相似度与融合系数相关联，对每一帧的特征匹配相应的权重，实现算法的最优融合。 Second, An adaptive fusion coefficient is proposed, and the similarity and the fusion coefficient are associated to match the corresponding weights of the features of each frame to achieve the optimal fusion of the algorithm.
39109 最后，本文算法在OTB-13和OTB-15两个数据集上与当前比较流行的5种跟踪算法进行比较。 Finally, the algorithm in this paper are compared with the five popular tracking algorithms on the two data sets OTB-13 and OTB-15.
39110 实验结果表明，该算法在光照变化、尺度变化、遮挡、变形、背景杂波等情况下均有较高的鲁棒性，且其跟踪精度、成功率在OTB-13数据集中分别为0.889、0.880。 The experimental results show that the algorithm has high robustness under lighting changes, scale changes, occlusion, deformation, background clutter, etc., and its tracking accuracy and success rate are 0.889 and 0.880 in the OTB-13 data set, respectively.
39111 在OTB-15数据集中分别为0.741、0.644。均优于其他几种算法。 In the OTB-15 data set, they are 0.741 and 0.644. which are better than other algorithms.
39112 针对测距仪(Distance Measure Equipment， DME)脉冲信号对L频段数字航空通信系统1(L-band Digital Aeronautical Communication System 1， L-DACS1)接收机产生干扰的问题，提出一种联合两级滤波与压缩感知的DME干扰抑制方法。 To mitigate the deleterious influence of the distance measure equipment(DME) impulse signal on the receiver of L-band digital aeronautical communication system 1(L-DACS1), a DME interference mitigation method based on joint two-stage filtering and compressed sensing was proposed.
39113 首先，接收机通过高通滤波器估计出DME干扰，并在时域将其从接收信号中消除; Firstly, DME interference was estimated by a high-pass filter in the receiver and eliminated from the received signals in time domain.
39114 然后，通过低通滤波器进一步滤除残留的DME干扰和噪声; Then, the residual DME interference and noise were further filtered out by low-pass filtering.
39115 最后，针对经过两级滤波后仍残留的DME干扰，基于其在时域中的稀疏特性应用压缩感知算法实现重构并消除。 Finally, based on the sparse characteristics of DME signal in time domain, the remaining DME interference after two-stage filtering were further reconstructed and eliminated using compressed sensing algorithm.