A novel method for infrared object robust tracking based on particle filters was proposed.
提出了一种基于粒子滤波的红外目标稳健跟踪新方法。
Based on particle filters, a head elliptical contour tracking method applicable to complex background, large distance range and arbitrary pose is proposed in this paper.
结合粒子滤波思想，给出了一种适用于复杂背景和较远距离下跟踪任意姿态人体头部椭圆轮廓的方法。
Experimental results show that the proposed method can reduce the computation load and increase the robustness of tracking compared with the standard particle filter.
实验结果显示，与标准粒子滤波相比，该方法可以减少计算量和增强跟踪鲁棒性。
After studying particle filter technology, a moving object tracking algorithm based on a particle filter was developed, integrating foreground information, color features and an integral image method.
通过粒子滤波技术，研究了如何整合颜色特征、前景信息和积分图运算等技术实现视频目标跟踪的粒子滤波算法。
This method can reduce the weight degradation rate of particle aggregation which occurs in the particle filter moving target tracking method after a certain number of iterations.
该方法能降低基于粒子滤波的运动目标跟踪方法在迭代一定次数后会出现粒子权重聚集的粒子退化速度。
Tracking method based on particle filter is the main tracking method in complex scenes.
基于粒子滤波的跟踪方法成为复杂场景目标跟踪的主流方法。
This paper studies the design and implementation method of particle filters suitable for the plane maneuvering targets real time tracking.
该文研究了杂波干扰下适用于平面机动目标实时定位的粒子滤波器的设计和实现。
Based on the analytical theory of multiple scattering, the millimeter wave propagation and scattering in discrete random media were investigated by means of the particle-tracking method.
根据多重散射的解析理论，利用粒子跟踪法研究了毫米波在离散随机介质中的传播与散射。
In tracking, the area of face contour distortion were searched by the method of particle filter, and the face contour parameters were solved.
同时，利用非线性滤波方法在人脸轮廓的变形区域内进行搜索，求解人脸轮廓参数，进行人脸轮廓跟踪。
The research topics include approaches of robot's pose tracking, Markov localization, Particle Filter and other improved PF method.
其主要内容包括移动机器人的位姿跟踪方法、马尔可夫定位方法、粒子滤波方法及各种粒子滤波改进方法。
The research topics include approaches of robot's pose tracking, Markov localization, Particle Filter and other improved PF method.
其主要内容包括移动机器人的位姿跟踪方法、马尔可夫定位方法、粒子滤波方法及各种粒子滤波改进方法。
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