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目标跟踪中的在线学习方法研究 学位论文
硕士, 沈阳: 中国科学院沈阳自动化研究所, 2017
Authors:  李义翠
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目标跟踪  在线学习  半监督学习  自训练  自步学习  
结合PN约束在线半监督boosting目标跟踪算法 期刊论文
计算机工程与应用, 2017, 卷号: 53, 期号: 23, 页码: 129-134, 141
Authors:  李义翠;  亓琳;  谭舒昆
View  |  Adobe PDF(2320Kb)  |  Favorite  |  View/Download:142/8  |  Submit date:2017/01/14
目标跟踪  在线学习  半监督学习  目标漂移  结构约束  
基于高斯尺度空间的核相关滤波目标跟踪算法 期刊论文
计算机工程与应用, 2017, 卷号: 53, 期号: 1, 页码: 29-33, 141
Authors:  谭舒昆;  刘云鹏;  李义翠
View  |  Adobe PDF(2269Kb)  |  Favorite  |  View/Download:228/76  |  Submit date:2017/02/18
目标跟踪  核相关滤波  高斯尺度空间  双线性插值  平均绝对误差  
Improved Kernel Correlation Filter Tracking with Gaussian scale space 会议论文
Proceedings of SPIE - The International Society for Optical Engineering, Beijing, May 9-11, 2016
Authors:  Tan SK(谭舒昆);  Liu YP(刘云鹏);  Li YC(李义翠)
View  |  Adobe PDF(784Kb)  |  Favorite  |  View/Download:173/17  |  Submit date:2016/09/13
Visual Object Tracking  Kernel Correlation Filter  Gaussian Scale Space  
Improved Semi-supervised Online Boosting for Object Tracking 会议论文
Proceedings of SPIE - The International Society for Optical Engineering, Beijing, May 9-11, 2016
Authors:  Li YC(李义翠);  Qi L(亓琳);  Tan SK(谭舒昆)
View  |  Adobe PDF(671Kb)  |  Favorite  |  View/Download:142/8  |  Submit date:2016/09/13
Object Tracking  Semi-supervised Online Boosting  Self-training  P-n Constraints