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OnTrackingofMovingObjects
- 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
MAC_Magnetostatic_Active_Contour_Model
- 利用电磁场的相互作用产生电磁场力，作为snake的外力，在边界和snake上设置电流。方法很新颖，请参考-Use of the interaction of electromagnetic fields generate electromagnetic fields, and as the external snake, snake in borders and set up currents. Method is novel, please refer to
ders4_2007
- Develop two different implementations of Snake model by using a Greedy algorthm and an Gradient Descent method. Compare results. Put all details and results in your report.
ders5_2007
- Develop two different implementations of Snake model by using a Greedy algorthm and an Gradient Descent method. Compare results. Put all details and results in your report.
ders6_2007
- Develop two different implementations of Snake model by using a Greedy algorthm and an Gradient Descent method. Compare results. Put all details and results in your report.
ders7_2006
- Develop two different implementations of Snake model by using a Greedy algorthm and an Gradient Descent method. Compare results. Put all details and results in your report.
ders8_2006
- Develop two different implementations of Snake model by using a Greedy algorthm and an Gradient Descent method. Compare results. Put all details and results in your report.