目标跟踪技术发展情况梳理(Object Tracking)--计算机视觉专题4
来源:互联网 发布:影楼网络销售话术 编辑:程序博客网 时间:2024/05/21 17:36
目标跟踪技术发展情况梳理(Object Tracking)
1. D. Jepson,D. J. Fleet, and T. F. El-Maraghi. Robust online appearance models for visualtracking. In CVPR, 2001.
2. R. Collins andY. Liu. On-line selection of discriminative tracking features. In ICCV, 2003.
3. R. T. Collins.Mean-shift blob tracking through scale space. In CVPR, 2003.
4. S. Avidan.Ensemble tracking. In CVPR, 2005.
5. J. Lim, D.Ross, R.-S. Lin, and M.-H. Yang. Incremental learning for visual tracking. InNIPS, 2005.
6. A. Adam, E. Rivlin,and I. Shimshoni. Robust fragments-based tracking using the integral histogram.In CVPR, 2006.
7. A. Yilmaz, O. Javed,and M. Shah. Object tracking: A suervey. ACM Computing Surveys, 2006.
8. L. Lu and G.D. Hager. A nonparametric treatment for location/segmentation based visualtracking. In CVPR, 2007.
9. X. Ren and J.Malik. Tracking as repeated figure/ground segmentation. In CVPR, 2007.
10. X. Li, W. Hu,Z. Zhang, X. Zhang, M. Zhu, and J. Cheng. Visual tracking via incrementallog-Euclidean Riemannian subspace learning. In CVPR, 2008.
11. J. Kwon andK. M. Lee. Tracking of a non-rigid object via patch-based dynamic appearance modelingand adaptive Basin Hopping Monte Carlo sampling. In CVPR, 2009.
12. D.-N. Ta,W.-C. Chen, N. Gelfand, and K. Pulli. SURFTrac: Efficient tracking andcontinuous object recognition using local feature descriptors. In CVPR, 2009.
13. B. Babenko,M.-H. Yang, and S. Belongie. Visual tracking with online multiple instancelearning. In CVPR, 2009.
14. X. Mei and H.Ling. Robust visual tracking using l1 minimization. In ICCV, 2009.
15. B. Han, Y.Zhu, D. Comaniciu, and L. S. Davis. Visual tracking by continuous densitypropagation in sequential Bayesian filtering framework. In TPAMI, 2009.
16. J. Kwon andK. M. Lee. Visual tracking decomposition. In CVPR, 2010.
17. J. Santner,C. Leistner, A. Saffari, T. Pock, and H. Bischof. PROST: Parallel robust onlinesimple tracking. In CVPR, 2010.
18. B. Liu, J.Huang, L. Yang, and C. A. Kulikowski. Robust tracking using local sparseappearance model and k-selection. In CVPR, 2011.
19. S.Wang, H.Lu, F. Yang, and M.-H. Yang. Superpixel tracking. In ICCV, 2011.
20. Shu Wang,Huchuan Lu, Fan Yang, and Ming-Hsuan Yang, Superpixel Tracking, In ICCV, 2011.
21. S. Hare, A.Saffari, and P. H. S. Torr. Struck: Structured output tracking with kernels. InICCV, 2011.
22. W. Hu, X. Li,X. Zhang, X. Shi, S. J. Maybank, and Z. Zhang. Incremental tensor subspacelearning and its applications to foreground segmentation and tracking. IJCV, 2011.
23. C. Bao, Y.Wu,H. Ling, and H. Ji. Real time robust 1 tracker using accelerated proximal gradient approach.In CVPR, 2012.
24. X. Jia, H.Lu, and M.-H. Yang. Visual tracking via adaptive structural local sparseappearance model. In CVPR, 2012.
25. W. Zhong, H.Lu, and M.-H. Yang. Robust object tracking via sparsity-based collaborativemodel. In CVPR, 2012.
26. T. Zhang, B.Ghanem, S. Liu, and N. Ahuja. Robust visual tracking via multitask sparselearning. In CVPR, 2012.
27. K. Zhang, L.Zhang, and M.-H. Yang. Real-time compressive tracking. In ECCV, 2012.
28. Z. Kalal, K.Mikolajczyk, and J. Matas. Tracking-learning-detection. TPAMI, 2012.
29. H. Lu, S. Lu,D. Wang, S. Wang, and H. Leung. Pixel-wise spatial pyramid-based
hybrid tracking. TCSVT,2012.
- 目标跟踪技术发展情况梳理(Object Tracking)--计算机视觉专题4
- 超像素分割技术发展情况梳理(Superpixel Segmentation)--计算机视觉专题3
- 超像素分割技术发展情况梳理(Superpixel Segmentation)--计算机视觉专题3
- 图像/视觉显著性检测技术发展情况梳理(Saliency Detection、Visual Attention)--计算机视觉专题2
- 图像/视觉显著性检测技术发展情况梳理(Saliency Detection、Visual Attention)--计算机视觉专题2
- 图像/视觉显著性检测技术发展情况梳理--计算机视觉专题
- 目标跟踪 Object tracking
- 自然图像抠图/视频抠像技术发展情况梳理(image matting, alpha matting, video matting)--计算机视觉专题1
- 自然图像抠图/视频抠像技术发展情况梳理(image matting, alpha matting, video matting)--计算机视觉专题1
- 自然图像抠图/视频抠像技术发展情况梳理(image matting, alpha matting, video matting)--计算机视觉专题1
- 自然图像抠图/视频抠像技术发展情况梳理(image matting, alpha matting, video matting)--计算机视觉专题1
- 深度学习tracking学习笔记(2):图像/视觉显著性检测技术发展情况梳理(Saliency Detection、Visual Attention)
- 计算机视觉 之 在iOS上测试跟踪算法Visual Object Tracking Algorithm
- 目标跟踪--技术发展文献梳理--by香蕉麦乐迪
- 图像/视觉显著性检测技术发展情况梳理(Saliency Detection、Visual Attention)
- 图像/视觉显著性检测技术发展情况梳理(Saliency Detection、Visual Attention)
- 图像/视觉显著性检测技术发展情况梳理
- 图像/视觉显著性检测技术发展情况梳理
- 使用UIAppearance 协议自定义视图
- JavaScript Boolean(逻辑)对象
- 质疑其合法身份,苹果全面下架比特币应用
- 深入了解Struts2返回JSON数据的原理及具体应用范例
- gif/bmp/jpeg图像开发---------图像内部写入加密字符
- 目标跟踪技术发展情况梳理(Object Tracking)--计算机视觉专题4
- 解析matlab函数wrcoef的内部实现
- Java抓取网页数据(原网页+Javascript返回数据)
- orcle字符串截取自定义函数
- grep awk sed常用用法
- IOS 集成 phonegap
- 网站为什么不被收录
- Gson json数组转换
- 一般网页信息抓取(Java htmlparser)