Learning Spatial-Temporal Regularized Correlation Filters for Visual Tracking
暂无分享,去创建一个
Feng Li | Ming-Hsuan Yang | Wangmeng Zuo | Cheng Tian | Lei Zhang | Ming-Hsuan Yang | W. Zuo | Lei Zhang | Cheng Tian | Feng Li
[1] Andrew Zisserman,et al. Very Deep Convolutional Networks for Large-Scale Image Recognition , 2014, ICLR.
[2] Qingming Huang,et al. Hedged Deep Tracking , 2016, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[3] Xiaogang Wang,et al. Visual Tracking with Fully Convolutional Networks , 2015, 2015 IEEE International Conference on Computer Vision (ICCV).
[4] Koby Crammer,et al. Online Passive-Aggressive Algorithms , 2003, J. Mach. Learn. Res..
[5] Bohyung Han,et al. Modeling and Propagating CNNs in a Tree Structure for Visual Tracking , 2016, ArXiv.
[6] Bernard Ghanem,et al. Context-Aware Correlation Filter Tracking , 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[7] Michael Felsberg,et al. ECO: Efficient Convolution Operators for Tracking , 2016, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[8] Luca Bertinetto,et al. Staple: Complementary Learners for Real-Time Tracking , 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[9] Luca Bertinetto,et al. End-to-End Representation Learning for Correlation Filter Based Tracking , 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[10] Michael Felsberg,et al. Discriminative Scale Space Tracking , 2016, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[11] Yong Liu,et al. Large Margin Object Tracking with Circulant Feature Maps , 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[12] Yi Li,et al. Robust and real-time deep tracking via multi-scale domain adaptation , 2017, 2017 IEEE International Conference on Multimedia and Expo (ICME).
[13] Bruce A. Draper,et al. Visual object tracking using adaptive correlation filters , 2010, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.
[14] Michael Felsberg,et al. Adaptive Color Attributes for Real-Time Visual Tracking , 2014, 2014 IEEE Conference on Computer Vision and Pattern Recognition.
[15] Bohyung Han,et al. Learning Multi-domain Convolutional Neural Networks for Visual Tracking , 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[16] Lei Zhang,et al. Learning Support Correlation Filters for Visual Tracking , 2016, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[17] Simon Lucey,et al. Learning Background-Aware Correlation Filters for Visual Tracking , 2017, 2017 IEEE International Conference on Computer Vision (ICCV).
[18] Gang Wang,et al. Real-time part-based visual tracking via adaptive correlation filters , 2015, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[19] Ming-Hsuan Yang,et al. Long-term correlation tracking , 2015, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[20] Rui Caseiro,et al. High-Speed Tracking with Kernelized Correlation Filters , 2014, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[21] Luca Bertinetto,et al. Fully-Convolutional Siamese Networks for Object Tracking , 2016, ECCV Workshops.
[22] Dimitri P. Bertsekas,et al. On the Douglas—Rachford splitting method and the proximal point algorithm for maximal monotone operators , 1992, Math. Program..
[23] Michael Felsberg,et al. Adaptive Decontamination of the Training Set: A Unified Formulation for Discriminative Visual Tracking , 2016, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[24] Jianke Zhu,et al. A Scale Adaptive Kernel Correlation Filter Tracker with Feature Integration , 2014, ECCV Workshops.
[25] David Zhang,et al. Integrating Boundary and Center Correlation Filters for Visual Tracking with Aspect Ratio Variation , 2017, 2017 IEEE International Conference on Computer Vision Workshops (ICCVW).
[26] Changsheng Xu,et al. Structural Correlation Filter for Robust Visual Tracking , 2016, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[27] Ming-Hsuan Yang,et al. Object Tracking Benchmark , 2015, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[28] Changsheng Xu,et al. Multi-task Correlation Particle Filter for Robust Object Tracking , 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[29] Simon Lucey,et al. Multi-channel Correlation Filters , 2013, 2013 IEEE International Conference on Computer Vision.
[30] Ales Leonardis,et al. Visual Object Tracking Performance Measures Revisited , 2015, IEEE Transactions on Image Processing.
[31] Bill Triggs,et al. Histograms of oriented gradients for human detection , 2005, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05).
[32] Michael Felsberg,et al. Learning Spatially Regularized Correlation Filters for Visual Tracking , 2015, 2015 IEEE International Conference on Computer Vision (ICCV).
[33] Bernard Ghanem,et al. Target Response Adaptation for Correlation Filter Tracking , 2016, ECCV.
[34] Kaare Brandt Petersen,et al. The Matrix Cookbook , 2006 .
[35] Michael Felsberg,et al. Beyond Correlation Filters: Learning Continuous Convolution Operators for Visual Tracking , 2016, ECCV.
[36] Michael Felsberg,et al. Convolutional Features for Correlation Filter Based Visual Tracking , 2015, 2015 IEEE International Conference on Computer Vision Workshop (ICCVW).
[37] Stan Sclaroff,et al. MEEM: Robust Tracking via Multiple Experts Using Entropy Minimization , 2014, ECCV.
[38] Erik Blasch,et al. Encoding color information for visual tracking: Algorithms and benchmark , 2015, IEEE Transactions on Image Processing.
[39] Zhenyu He,et al. The Visual Object Tracking VOT2016 Challenge Results , 2016, ECCV Workshops.
[40] Ming-Hsuan Yang,et al. Hierarchical Convolutional Features for Visual Tracking , 2015, 2015 IEEE International Conference on Computer Vision (ICCV).
[41] Simon Lucey,et al. Correlation filters with limited boundaries , 2014, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).