该算法的基本思路是利用肤色检测和背景差分算法相结合的方式实现人手的定位和跟踪。
The basic idea of the algorithm is the combination of complexion detection and background difference algorithm.
对车辆违章行为检测算法以及背景更新算法，我们采用了基于形态边缘检测和背景差分的算法进行检测。
In traffic peccancy detection and algorithm of background updating, we employ the vehicle detection technique based on morphological edge detection and background difference.
通过与传统的基于灰度背景差分方法的结果进行对比发现，本文采用的方法可以比较精确的实现对单个和多个目标以及简单遮挡情况下的跟踪。
Compared with the results based on traditional gray background difference, the method in this thesis has realized precise tracking of single object and multi-object with simple occlusion.
以差分吸收激光雷达为背景，对基于WDM的实时监测控制系统的设计中涉及的关键技术进行研究。
With differential absorption laser radar as background, the key techniques related in designing real-time monitor and control system based on WDM (Wavelength Division Multiplexing) are studied.
在传统的差分算法基础上，提出了一种新的背景的建立和更新的解决方法。
Based on the traditional difference algorithm, a new background construction and updating method is proposed.
针对各种不同的金融背景，建立了一系列金融网络中揭示收益率稳定性及其变化规律的差分方程模型。
Corresponding to various different financial backgrounds, a series of difference equation models are built up to reveal the stability and laws of the rate of return in the financial network.
针对背景相对静止的视频序列，提出了基于CNN差分图象合并的视频分割算法，并构建了与该算法相关的五个CNN模板。
Aim at video sequences with static background, the difference merged image algorithm based on CNN is presented. In order to realize the algorithm, five CNN templates are constructed.
提出一种基于对称帧间差分与背景减除相结合的运动目标检测和自适应背景更新方法。
In this paper, a new method of moving-people detection based on fusion of coterminous frames differencing and background subtraction is proposed.
为了有效去除高背景磁场对永磁体定位的磁干扰，本文提出了一种高背景磁场下的差分磁定位算法。
This paper reports a differential magnetic localization algorithm in high background magnetic field that interferes localization of permanent magnet.
利用拟合差分算法有效去除了荧光背景噪声，获得了明显的人体皮肤中类胡萝卜素的拉曼光谱。
At last we obtained obvious resonance Raman spectrum of carotenoid in human skin after the fluorescence background has been fitted and subtracted from the original spectra.
当前帧与校正后背景图像作差得到差分图像。
Background of image is corrected by using the current frame for motion compensation based on temporal integration.
以提高无线电引信抗高功率微波干扰的能力为应用背景，采用基于时域有限差分方法（FDTD）的电磁场仿真软件XFDTD6.0，数值模拟高功率微波（HPM）的孔缝耦合特性。
To have radio fuze making better resistance to HPM jamming, the slot coupling characteristics of HPM pulse into cavity are studied by using the software XFDTD6.0 based on the method of FDTD.
针对现有的背景重构算法存在的问题，提出一种新的算法，该算法基于子块操作，利用对称差分重构背景。
A new background reconstruction algorithm is proposed to overcome the problems in the current algorithms, which is based on sub-blocks and employs symmetrical differencing.
首先把图像序列中相对静止的部分提取出来作为背景，利用差分图像对道路上的运动物体进行分割，并在此基础上实现对每条车道上的车辆的跟踪。
Firstly the relatively static proportion of the video was extracted and the moving objects were segmented using differencing image algorithm. Then vehicles were tracked in divided road lanes.
提出用并行差分滤波器去除背景，用逻辑与剔除噪声，用递归方法累积目标轨迹的算法。
It proposes using parallel difference filters to suppress backgrounds, using logic and method to eliminate noise and using recursive method to cumulate the target tracks.
针对可见光图像背景下的运动小目标检测，提出了一种空时域联合差分的检测方法。
To detect small moving targets in complex visible image background clutter, the spatial-temporal difference method is presented.
首先，针对复杂多变的背景，提出了基于帧间差分和背景建模的背景处理算法，达到了抑制背景、增强目标的效果。
Firstly, a background processing algorithm based on inter-frame difference and background modeling is proposed, which has achieved effects of background suppression and target enhancement.
相邻帧配准差分去除恒星方法，在处理16位灰度图像时，由于高亮度恒星的插值误差大于目标灰度与背景之差，导致差分不能有效去除恒星干扰。
Registration and difference can't exclude stars when processing the 16-bit gray images because interpolation error of high light star is larger than the difference of target and background.
在此背景下，差分gps (DGPS)定位、载波相位等技术应运而生并飞速发展。
In this context, a differential GPS (DGPS) positioning, carrier phase technology emerged and rapid development.
首先对对称差分算法进行了改进，然后基于对称差分结果进行背景重构。
First, the original symmetrical differencing is improved. Then, background is reconstructed based on the symmetrical differencing results.
首先对对称差分算法进行了改进，然后基于对称差分结果进行背景重构。
First, the original symmetrical differencing is improved. Then, background is reconstructed based on the symmetrical differencing results.
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