文件名称:OnTrackingofMovingObjects
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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 filtering, Mean-shift, Camshifi algorithm, particle filter, Snake model the application of Kalman filtering method designed a coal miners out of automatic monitoring system a new Gaussian mixture model based on the color feature extraction method to overcome the existing Camshift algorithm Continuousl y Adaptive eanshift track target feature extraction accuracy and low computational complexity and high defects
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Y运动物体跟踪方法研究及应用.pdf