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Description: 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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Size: 1343488 |
Author: 田卉 |
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Description: 本程序可以对视频中的人体进行Kalman 预测，并用Snake在预测点的周围进行Snake能量函数及小化-This procedure can be carried out video of the human body Kalman forecast and the forecast point Snake around Snake energy function and a small of ...
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Size: 4087808 |
Author: baiyang |
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Description: 基于opencv的视频中人体跟踪代码，用Kalman预测 ，用Snake 在预测点的周围进行Snake能量函数及小化-Body of opencv-based video tracking code, using the Kalman prediction Snake Snake energy function and small around the prediction point
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Size: 15529984 |
Author: 杨亚萍 |
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