Spatial-Temporal Relation Networks for Multi-Object Tracking
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Yue Cao | Zheng Zhang | Han Hu | Jiarui Xu | Yue Cao | Han Hu | Jiarui Xu | Zheng Zhang | Yue Cao
[1] S. Shankar Sastry,et al. Markov Chain Monte Carlo Data Association for Multi-Target Tracking , 2009, IEEE Transactions on Automatic Control.
[2] Stefan Roth,et al. MOT16: A Benchmark for Multi-Object Tracking , 2016, ArXiv.
[3] David A. McAllester,et al. Object Detection with Discriminatively Trained Part Based Models , 2010, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[4] Silvio Savarese,et al. Tracking the Untrackable: Learning to Track Multiple Cues with Long-Term Dependencies , 2017, 2017 IEEE International Conference on Computer Vision (ICCV).
[5] Daniel Cremers,et al. Tracking the Trackers: An Analysis of the State of the Art in Multiple Object Tracking , 2017, ArXiv.
[6] Afshin Dehghan,et al. GMCP-Tracker: Global Multi-object Tracking Using Generalized Minimum Clique Graphs , 2012, ECCV.
[7] Kuk-Jin Yoon,et al. Robust Online Multi-object Tracking Based on Tracklet Confidence and Online Discriminative Appearance Learning , 2014, 2014 IEEE Conference on Computer Vision and Pattern Recognition.
[8] Wongun Choi,et al. Near-Online Multi-target Tracking with Aggregated Local Flow Descriptor , 2015, 2015 IEEE International Conference on Computer Vision (ICCV).
[9] Thomas Brox,et al. Motion Segmentation & Multiple Object Tracking by Correlation Co-Clustering , 2020, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[10] James M. Rehg,et al. Multiple Hypothesis Tracking Revisited , 2015, 2015 IEEE International Conference on Computer Vision (ICCV).
[11] Konrad Schindler,et al. Online Multi-Target Tracking Using Recurrent Neural Networks , 2016, AAAI.
[12] Bernt Schiele,et al. Multi-person Tracking by Multicut and Deep Matching , 2016, ECCV Workshops.
[13] Silvio Savarese,et al. Learning to Track: Online Multi-object Tracking by Decision Making , 2015, 2015 IEEE International Conference on Computer Vision (ICCV).
[14] Thomas Brox,et al. Joint Graph Decomposition & Node Labeling: Problem, Algorithms, Applications , 2016, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[15] Jiwen Lu,et al. Collaborative Deep Reinforcement Learning for Multi-object Tracking , 2018, ECCV.
[16] Yi Li,et al. Deformable Convolutional Networks , 2017, 2017 IEEE International Conference on Computer Vision (ICCV).
[17] 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).
[18] Bodo Rosenhahn,et al. Improvements to Frank-Wolfe optimization for multi-detector multi-object tracking , 2017, ArXiv.
[19] Razvan Pascanu,et al. Interaction Networks for Learning about Objects, Relations and Physics , 2016, NIPS.
[20] Bernt Schiele,et al. Subgraph decomposition for multi-target tracking , 2015, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[21] Ramakant Nevatia,et al. Multi-target tracking by online learning of non-linear motion patterns and robust appearance models , 2012, 2012 IEEE Conference on Computer Vision and Pattern Recognition.
[22] Long Chen,et al. Online multi-object tracking with convolutional neural networks , 2017, 2017 IEEE International Conference on Image Processing (ICIP).
[23] Yichen Wei,et al. Relation Networks for Object Detection , 2017, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[24] Mohamed R. Amer,et al. Multiobject tracking as maximum weight independent set , 2011, CVPR 2011.
[25] Konrad Schindler,et al. Continuous Energy Minimization for Multitarget Tracking , 2014, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[26] Zeyu Fu,et al. Particle PHD Filter Based Multiple Human Tracking Using Online Group-Structured Dictionary Learning , 2018, IEEE Access.
[27] Abhinav Gupta,et al. Non-local Neural Networks , 2017, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[28] 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.
[29] Bernt Schiele,et al. Multiple People Tracking by Lifted Multicut and Person Re-identification , 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[30] Francesco Solera,et al. Performance Measures and a Data Set for Multi-target, Multi-camera Tracking , 2016, ECCV Workshops.
[31] Kwangjin Yoon,et al. Online Multi-Object Tracking with Historical Appearance Matching and Scene Adaptive Detection Filtering , 2018, 2018 15th IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS).
[32] Hilke Kieritz,et al. Online multi-person tracking using Integral Channel Features , 2016, 2016 13th IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS).
[33] Fabio Poiesi,et al. Online Multi-target Tracking with Strong and Weak Detections , 2016, ECCV Workshops.
[34] Afshin Dehghan,et al. GMMCP tracker: Globally optimal Generalized Maximum Multi Clique problem for multiple object tracking , 2015, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[35] James M. Rehg,et al. Multi-object Tracking with Neural Gating Using Bilinear LSTM , 2018, ECCV.
[36] Rainer Stiefelhagen,et al. Evaluating Multiple Object Tracking Performance: The CLEAR MOT Metrics , 2008, EURASIP J. Image Video Process..
[37] J. Munkres. ALGORITHMS FOR THE ASSIGNMENT AND TRANSIORTATION tROBLEMS* , 1957 .
[38] Thomas Brox,et al. A Multi-cut Formulation for Joint Segmentation and Tracking of Multiple Objects , 2016, ArXiv.
[39] Bohyung Han,et al. Multi-object Tracking with Quadruplet Convolutional Neural Networks , 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[40] Gang Wang,et al. Joint Learning of Convolutional Neural Networks and Temporally Constrained Metrics for Tracklet Association , 2016, 2016 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).
[41] Lukasz Kaiser,et al. Attention is All you Need , 2017, NIPS.
[42] Afshin Dehghan,et al. Part-based multiple-person tracking with partial occlusion handling , 2012, 2012 IEEE Conference on Computer Vision and Pattern Recognition.
[43] Long Chen,et al. Real-Time Multiple People Tracking with Deeply Learned Candidate Selection and Person Re-Identification , 2018, 2018 IEEE International Conference on Multimedia and Expo (ICME).
[44] 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).
[45] Michael S. Bernstein,et al. ImageNet Large Scale Visual Recognition Challenge , 2014, International Journal of Computer Vision.
[46] Fan Yang,et al. Trajectory Factory: Tracklet Cleaving and Re-Connection by Deep Siamese Bi-GRU for Multiple Object Tracking , 2018, 2018 IEEE International Conference on Multimedia and Expo (ICME).
[47] Yang Zhang,et al. Enhancing Detection Model for Multiple Hypothesis Tracking , 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).
[48] Ramakant Nevatia,et al. Learning to associate: HybridBoosted multi-target tracker for crowded scene , 2009, 2009 IEEE Conference on Computer Vision and Pattern Recognition.
[49] Charless C. Fowlkes,et al. Globally-optimal greedy algorithms for tracking a variable number of objects , 2011, CVPR 2011.
[50] Seung-Hwan Bae,et al. Confidence-Based Data Association and Discriminative Deep Appearance Learning for Robust Online Multi-Object Tracking , 2018, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[51] Fan Yang,et al. Exploit All the Layers: Fast and Accurate CNN Object Detector with Scale Dependent Pooling and Cascaded Rejection Classifiers , 2016, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[52] Stefan Roth,et al. MOTChallenge 2015: Towards a Benchmark for Multi-Target Tracking , 2015, ArXiv.
[53] Razvan Pascanu,et al. A simple neural network module for relational reasoning , 2017, NIPS.
[54] Ramakant Nevatia,et al. Global data association for multi-object tracking using network flows , 2008, 2008 IEEE Conference on Computer Vision and Pattern Recognition.
[55] 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).
[56] Pascal Fua,et al. Non-Markovian Globally Consistent Multi-object Tracking , 2017, 2017 IEEE International Conference on Computer Vision (ICCV).
[57] Jian Sun,et al. Deep Residual Learning for Image Recognition , 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[58] Ming-Hsuan Yang,et al. Online Multi-object Tracking via Structural Constraint Event Aggregation , 2016, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[59] Hua Yang,et al. Online Multi-Object Tracking with Dual Matching Attention Networks , 2018, ECCV.
[60] Seung-Hwan Bae,et al. Learning Discriminative Appearance Models for Online Multi-Object Tracking With Appearance Discriminability Measures , 2018, IEEE Access.