This paper focuses on the research of both robustness and real-time target tracking algorithm.
本文重点研究复杂背景下兼具鲁棒性和实时性的目标检测跟踪算法。
We introduce some common image target tracking algorithm briefly and expatiate the algorithm that I realized in this dissertation.
本文简要介绍了常用的目标跟踪算法并详细的阐述了本文所实现的算法。
Aiming at the tracking problem of targets in video sequence images, a multi-target tracking algorithm based on region matching is proposed.
针对视频序列中目标的跟踪问题，提出了一种基于模版匹配的多目标跟踪算法。
Maneuvering target tracking algorithm based on adaptive Gauss model and EKF was built for improving the tracking performance in Multi-static systems.
为改善多基地雷达系统对高机动目标的跟踪性能，提出了基于自适应高斯模型和扩展卡尔曼滤波(ekf)的机动目标跟踪算法。
In order to track a target in space and scale in a complex background, a target tracking algorithm based on the nonparametric clustering and multi-scale images is presented.
为了实现复杂背景下的目标空间定位和尺度定位，提出了一种基于非参数聚类和多尺度图像的目标跟踪算法。
Aiming at the imprecision of maneuvering target tracking by using traditional input estimation algorithms, a modified maneuvering target tracking algorithm of ie is proposed.
针对传统输入估计算法跟踪机动目标时检测概率和估计精度不高的缺点，提出一种改进的输入估计跟踪算法。
This paper combines the above two algorithms to improve the target tracking algorithm in order to solve the problem that the target occluding and appearing a short time away.
本文将上述两种算法融合在一起对目标跟踪算法进行改进，解决了目标在被遮挡、出现短时间消失等问题。
With the use of a robust error mapping function, an affine model-based target tracking algorithm is formulated, in which a quasi-Newton's iterative method is implemented in the optimization progress.
在采用一个鲁棒性匹配误差映射函数的基础上，使用一种类牛顿法的迭代优化方法实现了基于仿射模型的图像目标跟踪算法。
This paper presents an algorithm for target image extraction and high precious target centroid tracking in complex environment.
本文介绍一种复杂背景中目标图像的提取与高精度目标形心跟踪算法。
This paper presents an extended kalman filtering algorithm for tracking infrared target, using the outputs from a forward-looking infrared (FLIR) sensor as measuring value.
本文提出了一种直接把红外前视传感器的输出作为测量值来跟踪红外目标的扩展型卡尔曼滤波跟踪算法。
The target matching and tracking algorithm makes use of the interrelated information, decreases the threshold and increases the range.
目标匹配和跟踪算法利用多个脉冲之间的相关信息，降低了目标检测门限，提高了测距范围。
However, the centroid tracking algorithm based on the image gray-mean segmentation fails when tracking small target images.
但是这种基于图像灰度均值分割的形心跟踪算法对于小目标图像都会跟踪失败。
To improve the accuracy of tracking the complex maneuver target in cluttered environment, a new state estimation algorithm based on the expectation maximization (EM) algorithm is presented.
为了提高在杂波环境下跟踪强机动目标的精度，提出了一种新的基于期望极大化(EM)算法的机动目标状态估计方法。
The improved particle filter tracking algorithm not only keeps the high efficient operation, but also improves stability of target tracking.
改进后的粒子滤波跟踪算法不但保持了较高的运算效率，而且还较好地提高了跟踪的稳定性。
The target tracking system errors analysis models are derived from the tracker algorithm.
从系统的跟踪算法中导出目标跟踪系统误差分析模型。
In order to resolve the maneuvering problem in target tracking, an algorithm based on interacting multiple model (IMM) method was presented.
针对目标跟踪中的目标机动问题提出了一种“基于自适应相互作用多模型”的算法。
A nonlinear predictive tracking filtering algorithm is presented for maneuvering target, which is an innovations-based scheme of maneuver estimation.
提出了一种直接根据新息的机动目标跟踪非线性预测跟踪滤波算法。
The experiment results show that the vision navigation system can efficiently perform the tracking of target, and that the recognition algorithm can satisfy the requirements of the system.
对目标物进行跟踪实验，实验结果表明所建立的视觉导航系统是有效可行的，同时也证明了目标物识别算法的正确性。
Because this algorithm USES precision normal acceleration model, precision of tracking maneuvering target of algorithm is very well.
由于该算法对法向加速度精确建模，所以对机动目标的跟踪精度较高。
To solve the contradiction between target tracking accuracy and observation interval, an algorithm of calculating observation time based on target estimate covariance control was presented.
为解决目标跟踪精度与观测时间间隔的矛盾，提出了一种基于目标状态估计协方差控制的观测时间确定算法。
This system detected motion target using difference image method through threshold image segmentation, then automatically tracked target by using centroid tracking algorithm.
该系统运用差分图像法，通过阈值图像分割来检测运动目标，并采用形心跟踪算法来自动跟踪目标。
This paper presents a tracking algorithm for maneuvering target when the measurement noise is glint noise.
给出了一种量测噪声为闪烁噪声情况下的模型集交互机动目标跟踪算法。
A new EMM algorithm for tracking maneuvering target is presented, which USES two models that consist of a normal CS model and an augmented CV model for interaction.
提出了一种使用两个模型实现对机动目标跟踪的多模型算法，采用当前统计模型和扩展后的常速模型组成的模型集进行交互。
In traditional multiple hypothesis tracking (MHT) algorithm, only target location information has been used for truth likelihood function of tracks.
在传统的多假设跟踪(MHT)算法中，航迹置信度函数仅利用了目标的位置信息。
The thesis is focused on the study of algorithm for moving target recognition and tracking in video sequence images.
本论文主要研究视频序列图像中运动目标识别与跟踪的算法。
From mathematical model of target tracking, Performance of target tracking is impacted by three main factors of object state transition model, filtering algorithm and object modeling technique.
由目标跟踪的数学模型得出，影响目标跟踪性能的三个主要因素为目标状态转移模型、滤波算法和目标建模技术。
Detection of small target with low contrast and the research for tracking algorithm is one of the key techniques in TV tracking field.
低对比度小目标检测与跟踪算法的研究是电视跟踪领域的关键技术之一。
A recognition and tracking algorithm adapted to the moving target is described.
讨论了一种对运动目标的目标识别跟踪算法。
In tracking a maneuvering target by NIFPAT algorithm, there are two shortcomings i. e. great computational burden and dependence on network training.
在应用NIFPAT算法对机动目标跟踪时存在计算量大和要求网络训练两个弱点。
In tracking a maneuvering target by NIFPAT algorithm, there are two shortcomings i. e. great computational burden and dependence on network training.
在应用NIFPAT算法对机动目标跟踪时存在计算量大和要求网络训练两个弱点。
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