Beyond Correlation Filters: Learning Continuous Convolution Operators for Visual Tracking
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Michael Felsberg | Fahad Shahbaz Khan | Martin Danelljan | Andreas Robinson | M. Felsberg | Martin Danelljan | F. Khan | Andreas Robinson
[1] Takeo Kanade,et al. An Iterative Image Registration Technique with an Application to Stereo Vision , 1981, IJCAI.
[2] C. Tomasi. Detection and Tracking of Point Features , 1991 .
[3] Carlo Tomasi,et al. Good features to track , 1994, 1994 Proceedings of IEEE Conference on Computer Vision and Pattern Recognition.
[4] Emanuele Trucco,et al. Improving Feature Tracking with Robust Statistics , 1999, Pattern Analysis & Applications.
[5] J.-Y. Bouguet,et al. Pyramidal implementation of the lucas kanade feature tracker , 1999 .
[6] D K Smith,et al. Numerical Optimization , 2001, J. Oper. Res. Soc..
[7] M. Pinsky. Introduction to Fourier analysis and wavelets , 2002 .
[8] Simon Baker,et al. Lucas-Kanade 20 Years On: A Unifying Framework , 2004, International Journal of Computer Vision.
[9] G. Klein,et al. Parallel Tracking and Mapping for Small AR Workspaces , 2007, 2007 6th IEEE and ACM International Symposium on Mixed and Augmented Reality.
[10] Bruce A. Draper,et al. Visual object tracking using adaptive correlation filters , 2010, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.
[11] Jiri Matas,et al. P-N learning: Bootstrapping binary classifiers by structural constraints , 2010, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.
[12] Richard Szeliski,et al. Computer Vision - Algorithms and Applications , 2011, Texts in Computer Science.
[13] Laura Sevilla-Lara,et al. Distribution fields for tracking , 2012, 2012 IEEE Conference on Computer Vision and Pattern Recognition.
[14] Rui Caseiro,et al. Exploiting the Circulant Structure of Tracking-by-Detection with Kernels , 2012, ECCV.
[15] Michael J. Black,et al. A Naturalistic Open Source Movie for Optical Flow Evaluation , 2012, ECCV.
[16] Huchuan Lu,et al. Visual tracking via adaptive structural local sparse appearance model , 2012, 2012 IEEE Conference on Computer Vision and Pattern Recognition.
[17] Simon Lucey,et al. Multi-channel Correlation Filters , 2013, 2013 IEEE International Conference on Computer Vision.
[18] Michael Felsberg,et al. The Visual Object Tracking VOT2013 Challenge Results , 2013, 2013 IEEE International Conference on Computer Vision Workshops.
[19] Takeo Kanade,et al. Correlation Filters for Object Alignment , 2013, 2013 IEEE Conference on Computer Vision and Pattern Recognition.
[20] Michael Felsberg,et al. Enhanced Distribution Field Tracking Using Channel Representations , 2013, 2013 IEEE International Conference on Computer Vision Workshops.
[21] Yi Wu,et al. Online Object Tracking: A Benchmark , 2013, 2013 IEEE Conference on Computer Vision and Pattern Recognition.
[22] Rynson W. H. Lau,et al. Visual Tracking via Locality Sensitive Histograms , 2013, 2013 IEEE Conference on Computer Vision and Pattern Recognition.
[23] Akihiro Yamamoto,et al. Visual Odometry by Multi-frame Feature Integration , 2013, 2013 IEEE International Conference on Computer Vision Workshops.
[24] Jianke Zhu,et al. A Scale Adaptive Kernel Correlation Filter Tracker with Feature Integration , 2014, ECCV Workshops.
[25] Michael Felsberg,et al. Accurate Scale Estimation for Robust Visual Tracking , 2014, BMVC.
[26] Jin Gao,et al. Transfer Learning Based Visual Tracking with Gaussian Processes Regression , 2014, ECCV.
[27] Stan Sclaroff,et al. MEEM: Robust Tracking via Multiple Experts Using Entropy Minimization , 2014, ECCV.
[28] Michael Felsberg,et al. Fast Segmentation of Sparse 3D Point Trajectories Using Group Theoretical Invariants , 2014, ACCV.
[29] Ivan Laptev,et al. Learning and Transferring Mid-level Image Representations Using Convolutional Neural Networks , 2014, 2014 IEEE Conference on Computer Vision and Pattern Recognition.
[30] Michael Felsberg,et al. Adaptive Color Attributes for Real-Time Visual Tracking , 2014, 2014 IEEE Conference on Computer Vision and Pattern Recognition.
[31] B. V. K. Vijaya Kumar,et al. Zero-Aliasing Correlation Filters for Object Recognition , 2014, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[32] Michael Felsberg,et al. The Visual Object Tracking VOT2015 Challenge Results , 2015, 2015 IEEE International Conference on Computer Vision Workshop (ICCVW).
[33] Michael Felsberg,et al. Learning Spatially Regularized Correlation Filters for Visual Tracking , 2015, 2015 IEEE International Conference on Computer Vision (ICCV).
[34] Michael Felsberg,et al. Convolutional Features for Correlation Filter Based Visual Tracking , 2015, 2015 IEEE International Conference on Computer Vision Workshop (ICCVW).
[35] Anton van den Hengel,et al. The treasure beneath convolutional layers: Cross-convolutional-layer pooling for image classification , 2014, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[36] Thomas Mauthner,et al. In defense of color-based model-free tracking , 2015, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[37] Ming-Hsuan Yang,et al. Hierarchical Convolutional Features for Visual Tracking , 2015, 2015 IEEE International Conference on Computer Vision (ICCV).
[38] Rui Caseiro,et al. High-Speed Tracking with Kernelized Correlation Filters , 2014, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[39] Ming-Hsuan Yang,et al. Long-term correlation tracking , 2015, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[40] Simon Lucey,et al. Correlation filters with limited boundaries , 2014, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[41] Subhransu Maji,et al. Deep filter banks for texture recognition and segmentation , 2015, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[42] Ming-Hsuan Yang,et al. Object Tracking Benchmark , 2015, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[43] Per-Erik Forssén,et al. Gyroscope-based video stabilisation with auto-calibration , 2015, 2015 IEEE International Conference on Robotics and Automation (ICRA).
[44] Andrew Zisserman,et al. Very Deep Convolutional Networks for Large-Scale Image Recognition , 2014, ICLR.
[45] Erik Blasch,et al. Encoding color information for visual tracking: Algorithms and benchmark , 2015, IEEE Transactions on Image Processing.
[46] Luca Bertinetto,et al. Staple: Complementary Learners for Real-Time Tracking , 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[47] Michael Felsberg,et al. Deep motion features for visual tracking , 2016, 2016 23rd International Conference on Pattern Recognition (ICPR).
[48] Vibhav Vineet,et al. Struck: Structured Output Tracking with Kernels , 2016, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[49] Zhenyu He,et al. The Visual Object Tracking VOT2016 Challenge Results , 2016, ECCV Workshops.
[50] 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).