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学位论文；运动物体跟踪方法主要包括卡尔曼滤波，Mean-shift，Camshifi算法，粒子滤波器，Snake模型等；应用卡尔曼滤波方法设计了一套煤矿矿工出入自动监测系统；提出了一种新的基于高斯混合模型的颜色特征提取方法，该方法克服了现有的Camshift算法Continuousl y Adaptive eanshift中跟踪目标特征提取精确度低和计算复杂度高的缺陷-Dissertation moving object tracking methods include Kalman filt
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"REAL TIME MULTI OBJECT TRACKING WITH FEW PARTICLES"
This is a paper about tracking by particle filter.
This is very useful.
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object tracking using particle filter
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基于分块颜色直方图和粒子滤波的物体跟踪_陶立超.zip-Based on block color histogram and particle filter object tracking _ Tao Li Chao. Zip
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Particle filters are often used for tracking objects within a
scene. As the prediction model of a particle filter is often
implemented using basic movement predictions such as ran-
domwalk,constantvelocityoracceleration,thesemodelswill
us
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A color-based particle filter for multiple object tracking
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object tracking with particle filter
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object tracking particle filter-object tracking particle filter
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object tracking particle filter-object tracking particle filter
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一种改进的粒子滤波算法的研究 粒子滤波基本原理，通过改进权重计算、重采样算法， 计算速度得到提高。改进的算法在DSP系统中进行目标跟踪仿真，证明其具有速度快、 精度高的特点-An improved study the basic principles of particle filter particle filter algorithm, recalculation by improving the rights, resampling algorithm to calculate the s
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This paper introduces a new object tracking method
which combines two algorithms working in parallel, and based on
low-level observations (colour and gradient orientation): the Generalised Hough Transform, using a pixel-based descr iption, and
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