另外，还提出了一个自适应转弯速率模型的机动目标跟踪算法。
In addition, a maneuvering target tracking algorithm using adaptive turn rate models are presented.
并将两种特征模型进行线性融合，得到最终的目标表征模型，其中的融合系数由特征似然图对比度自适应确定。
The final target representation model was obtained by means of linear fusing the two feature models, and the fusion coefficient was determined adaptively by contrast ratio of feature likelihood map.
给出了一种利用自适应转弯速率模型的IMM跟踪算法，可以用于机动目标的跟踪中。
This paper presents an interactive multiple model algorithm (IMM) utilizing adaptive turn rate models to track a maneuvering target.
利用该建模方法，给出了地面运动目标轨迹的灰色自适应预测模型。
With the modeling method, the paper gives the gray self -adaptive forecast model of the ground mobile target.
指出了目标跟踪中目标表征模型自适应选择的研究方向。
The research direction on adaptive selection of object representation model in target tracking is presented.
通过对多用户OFDM系统模型的分析，结合对用户公平性的考虑，给出了该系统中自适应资源分配问题的目标函数。
Based on the multiuser OFDM system model and the user fairness, this paper designed the objective function of the adaptive resource allocation problem.
自适应滤波算法(1)研究了极坐标系下的水下目标被动跟踪问题，建立了被动跟踪的动力学模型。
Adaptive Kalman filter algorithm study (1) Based on the study of the passive target tracking in modified polar coordinates, the nonlinear dynamic model is devised.
在该系统里，通过对机器人的行走装置进行模型化，建立了对象的模糊知识库，并根据自适应模糊控制的目标设计了推理机。
In the system the fuzzy knowledge bases of the object are established by modelling walking device of the robot, and the reasoning engine is designed according to fuzzy-control aim.
本文在对连续自适应均值漂移算法深入分析的基础上，提出利用目标外观信息的先验知识，对其建立多个颜色分布模型。
In this paper, we research the CamShift tracker in detail and then proposed to build multiple color-distribution-model for the target accordng to prior knowledge of the objects appearance.
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。
Maneuvering target tracking algorithm based on adaptive Gauss model and EKF was built for improving the tracking performance in Multi-static systems.
在估计目标状态时，采用了粒子滤波算法，设计了基于自适应表面模型的观测模型；
When estimating the target state, particle filter is adopted, and the observation model is designed based on the adaptive appearance model.
根据数据目标函数、模型约束目标函数和正则化因子之间的关系，提出了两种正则化因子自适应调节方法。
Third two adaptive methods of regularized factors are put forward based on the relations of data object function, model constraint object function, and regularized factor.
自适应网格交互多模算法能够根据目标的运动模式，自适应调整系统各模型参数，从而实现对目标的跟踪。
The adaptive grid Interacting Multiple Model algorithm can adjust model parameter adaptively according to the target's mode, and thus realizes target tracking.
工艺过渡模型主要包括带钢目标温度模型、静态模型、动态模型、动态自适应。
This model mainly includes the target temperature model, static model, dynamic model and dynamic self-adaptation.
然后建立去除复杂实际背景和自适应二值化的动态图象预处理模型，并根据矩法搜索和求取目标质心；
Secondly, Deleting background model and binarization model are established, and the mass center of object is searched and computed based on method of moment.
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。
In order to resolve the maneuvering problem in target tracking, an algorithm based on interacting multiple model (IMM) method was presented.
并将修正的自适应网格算法和粒子滤波相结合用于跟踪模型范围未知的目标。
The combination of the modified AGMM and PF is also used to tracking target which the model scope is unknown in advance.
变结构多模算法是最有效的机动目标跟踪滤波算法，其核心是模型集自适应策略。
The variable structure multiple-model estimation filtering is the most effective approach for tracking maneuvering target, and the model set adaptation algorithm is the core of it.
给出连续图像帧差分和二次帧差分改进的图像HSI差分模型，采用自适应分割算法能在任意条件下自动提取运动目标区域。
It has been focused in compute vision research fields. A improved HSI image difference model based on sequences image difference and second image difference is presented.
给出连续图像帧差分和二次帧差分改进的图像HSI差分模型，采用自适应分割算法能在任意条件下自动提取运动目标区域。
It has been focused in compute vision research fields. A improved HSI image difference model based on sequences image difference and second image difference is presented.
应用推荐