搜索资源列表
-
0下载：
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
-
-
0下载：
O.Javed and M.Shah. 《Tracking and object classification for automated surveillance》.
这篇英文文献是有关运动目标检测跟踪及其分类的文章。该文利用“人体运动的周期性”，把运动目标分为人、人群、机动车。具有较强的参考价值。-O. Javed and M. Shah. " Tracking and object classification for automated surveillance" .
-
-
0下载：
the first introduction to Kalman Filter, methods that used to track moving object
-
-
0下载：
extracting background Bit-layer-A method of achieving background is presented
which detect the moving object with statistics from complex
scene. Compared with other methods of achieving image
background, this approach can achieve and update
s
-
-
0下载：
This document represent the kalman filter which can track the moving object. it is proofed that this filter is optimal in the case of gaussianity.
-
