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 Platform: |
Size: 1343488 |
Author:田卉 |
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Description: 针对多目标跟踪中，目标瞬问丢失、目标交错或重叠时H标跟踪失败等情况，提j“了一种改进Camshift(continuously adaptive iTlean shift)算法和卡尔曼滤波组合的多日标跟踪方法-Abstract：Aiming at several problems occurred in multi—object tracking．such硒the moving objects interleaving or OVal -
lapping．and the object losing momentarily,a new multi-object tracking algorithm is proposed that combines the modified
Camshifl(continuously adaptive mean shift)algorithm with Kaiman filter Platform: |
Size: 2048 |
Author:史磊 |
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Search - mean shift filter moving object tracking