Online Multi-Object Tracking via Combining Discriminative Correlation Filters With Making Decision
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Wenkai Zhang | Guangluan Xu | Xian Sun | Kun Fu | Hongqi Wang | Hao Sun | Chenglong Wu | Hongqi Wang | K. Fu | Xian Sun | Hao Sun | Guangluan Xu | Wenkai Zhang | Chenglong Wu | Kun Fu
[1] Rainer Stiefelhagen,et al. Evaluating Multiple Object Tracking Performance: The CLEAR MOT Metrics , 2008, EURASIP J. Image Video Process..
[2] Rui Caseiro,et al. High-Speed Tracking with Kernelized Correlation Filters , 2014, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[3] Andrew Zisserman,et al. Very Deep Convolutional Networks for Large-Scale Image Recognition , 2014, ICLR.
[4] Demis Hassabis,et al. Mastering the game of Go without human knowledge , 2017, Nature.
[5] Wongun Choi,et al. Deep Network Flow for Multi-object Tracking , 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[6] Bruce A. Draper,et al. Visual object tracking using adaptive correlation filters , 2010, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.
[7] Simone Calderara,et al. Visual Tracking: An Experimental Survey , 2014, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[8] Michael Felsberg,et al. Accurate Scale Estimation for Robust Visual Tracking , 2014, BMVC.
[9] Konrad Schindler,et al. Discrete-continuous optimization for multi-target tracking , 2012, 2012 IEEE Conference on Computer Vision and Pattern Recognition.
[10] Afshin Dehghan,et al. Part-based multiple-person tracking with partial occlusion handling , 2012, 2012 IEEE Conference on Computer Vision and Pattern Recognition.
[11] Jianke Zhu,et al. A Scale Adaptive Kernel Correlation Filter Tracker with Feature Integration , 2014, ECCV Workshops.
[12] Konrad Schindler,et al. Continuous Energy Minimization for Multitarget Tracking , 2014, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[13] Luca Bertinetto,et al. Staple: Complementary Learners for Real-Time Tracking , 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[14] Shane Legg,et al. Human-level control through deep reinforcement learning , 2015, Nature.
[15] Charless C. Fowlkes,et al. Learning Optimal Parameters for Multi-target Tracking with Contextual Interactions , 2016, International Journal of Computer Vision.
[16] G. G. Stokes. "J." , 1890, The New Yale Book of Quotations.
[17] Michael Felsberg,et al. Learning Spatially Regularized Correlation Filters for Visual Tracking , 2015, 2015 IEEE International Conference on Computer Vision (ICCV).
[18] Jürgen Schmidhuber,et al. Long Short-Term Memory , 1997, Neural Computation.
[19] Ehud Rivlin,et al. Robust Fragments-based Tracking using the Integral Histogram , 2006, 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'06).
[20] Wongun Choi,et al. Near-Online Multi-target Tracking with Aggregated Local Flow Descriptor , 2015, 2015 IEEE International Conference on Computer Vision (ICCV).
[21] Nenghai Yu,et al. Online Multi-object Tracking Using CNN-Based Single Object Tracker with Spatial-Temporal Attention Mechanism , 2017, 2017 IEEE International Conference on Computer Vision (ICCV).
[22] Rui Caseiro,et al. Exploiting the Circulant Structure of Tracking-by-Detection with Kernels , 2012, ECCV.
[23] Konrad Schindler,et al. Learning by Tracking: Siamese CNN for Robust Target Association , 2016, 2016 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).
[24] Jin Young Choi,et al. Action-Decision Networks for Visual Tracking with Deep Reinforcement Learning , 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[25] Andrew Y. Ng,et al. Pharmacokinetics of a novel formulation of ivermectin after administration to goats , 2000, ICML.
[26] Weihai Li,et al. Online multi-object tracking based on global and local features , 2016, 2016 Visual Communications and Image Processing (VCIP).
[27] Xin Wang,et al. Deep Reinforcement Learning for Visual Object Tracking in Videos , 2017, ArXiv.
[28] A. Aydın Alatan,et al. Good Features to Correlate for Visual Tracking , 2017, IEEE Transactions on Image Processing.
[29] Silvio Savarese,et al. Learning to Track: Online Multi-object Tracking by Decision Making , 2015, 2015 IEEE International Conference on Computer Vision (ICCV).
[30] Kaiming He,et al. Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks , 2015, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[31] Bernhard E. Boser,et al. A training algorithm for optimal margin classifiers , 1992, COLT '92.
[32] Michael Felsberg,et al. Convolutional Features for Correlation Filter Based Visual Tracking , 2015, 2015 IEEE International Conference on Computer Vision Workshop (ICCVW).
[33] Kaiming He,et al. Feature Pyramid Networks for Object Detection , 2016, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[34] 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).
[35] 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).
[36] Yi Wu,et al. Online Object Tracking: A Benchmark , 2013, 2013 IEEE Conference on Computer Vision and Pattern Recognition.
[37] 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).
[38] Pascal Fua,et al. Ieee Transactions on Pattern Analysis and Machine Intelligence 1 Multiple Object Tracking Using K-shortest Paths Optimization , 2022 .
[39] Michael Felsberg,et al. ECO: Efficient Convolution Operators for Tracking , 2016, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[40] Demis Hassabis,et al. Mastering the game of Go with deep neural networks and tree search , 2016, Nature.
[41] Sungjin Hong,et al. Adaptive visual tracking using the prioritized Q-learning algorithm: MDP-based parameter learning approach , 2014, Image Vis. Comput..
[42] Geoffrey E. Hinton,et al. ImageNet classification with deep convolutional neural networks , 2012, Commun. ACM.
[43] Andreas Geiger,et al. Are we ready for autonomous driving? The KITTI vision benchmark suite , 2012, 2012 IEEE Conference on Computer Vision and Pattern Recognition.
[44] Deva Ramanan,et al. Tracking as Online Decision-Making: Learning a Policy from Streaming Videos with Reinforcement Learning , 2017, 2017 IEEE International Conference on Computer Vision (ICCV).
[45] Michael Felsberg,et al. Adaptive Color Attributes for Real-Time Visual Tracking , 2014, 2014 IEEE Conference on Computer Vision and Pattern Recognition.
[46] K. Madhava Krishna,et al. Beyond Pixels: Leveraging Geometry and Shape Cues for Online Multi-Object Tracking , 2018, 2018 IEEE International Conference on Robotics and Automation (ICRA).
[47] Volker Eiselein,et al. High-Speed tracking-by-detection without using image information , 2017, 2017 14th IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS).
[48] Yu-Wing Tai,et al. Accurate Single Stage Detector Using Recurrent Rolling Convolution , 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[49] Yi Li,et al. R-FCN: Object Detection via Region-based Fully Convolutional Networks , 2016, NIPS.
[50] Michael Felsberg,et al. Beyond Correlation Filters: Learning Continuous Convolution Operators for Visual Tracking , 2016, ECCV.
[51] Ming-Hsuan Yang,et al. Hierarchical Convolutional Features for Visual Tracking , 2015, 2015 IEEE International Conference on Computer Vision (ICCV).