UA-DETRAC 2017: Report of AVSS2017 & IWT4S Challenge on Advanced Traffic Monitoring
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Martin Lauer | Tao Hu | Li Wang | Volker Eiselein | Shuo Wang | Hong Wang | Noor M. Al-Shakarji | Kannappan Palaniappan | Honggang Qi | Siwei Lyu | Guang Han | Liang Wang | Hao Ye | Fabio Galasso | Yuezun Li | Ming-Ching Chang | Xiaoyi Yu | Yongzhen Huang | Longyin Wen | Dawei Du | Yingbin Zheng | Filiz Bunyak | Wei Tian | Xiangyang Xue | Thomas Sikora | Sikandar Amin | Yuqi Zhang | Marco Del Coco | Yi Wei | Sitapa Rujikietgumjorn | Nattachai Watcharapinchai | Koray Ozcan | Yao Lu | Pierluigi Carcagnì | Erik Bochinski | Lipeng Ke | Tatiana Khanova | Dmitriy Anisimov | Nenghui Song | Tino Kutschbach | Longyin Wen | Siwei Lyu | Fabio Galasso | S. Amin | Ming-Ching Chang | X. Xue | Martin Lauer | Yongzhen Huang | Yingbin Zheng | T. Sikora | Dawei Du | F. Bunyak | H. Qi | K. Palaniappan | Tao Hu | P. Carcagnì | Yuezun Li | Hao Ye | M. D. Coco | Lipeng Ke | Yi Wei | Nenghui Song | Dmitriy Anisimov | Guangfan Han | Hong Wang | Koray Ozcan | Li Wang | Liang Wang | N. Watcharapinchai | Shuo Wang | Sitapa Rujikietgumjorn | T. Khanova | Tino Kutschbach | V. Eiselein | Wei Tian | Xiaoyi Yu | Yao Lu | Yuqi Zhang | Erik Bochinski | Volker Eiselein | M. Lauer
[1] Yi Li,et al. R-FCN: Object Detection via Region-based Fully Convolutional Networks , 2016, NIPS.
[2] Charless C. Fowlkes,et al. Globally-optimal greedy algorithms for tracking a variable number of objects , 2011, CVPR 2011.
[3] Hong Wang,et al. Evolving boxes for fast vehicle detection , 2017, 2017 IEEE International Conference on Multimedia and Expo (ICME).
[4] Pietro Perona,et al. Fast Feature Pyramids for Object Detection , 2014, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[5] Stefan Roth,et al. MOTChallenge 2015: Towards a Benchmark for Multi-Target Tracking , 2015, ArXiv.
[6] Rui Caseiro,et al. High-Speed Tracking with Kernelized Correlation Filters , 2014, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[7] David A. McAllester,et al. Object Detection with Discriminatively Trained Part Based Models , 2010, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[8] Ming-Hsuan Yang,et al. DETRAC: A New Benchmark and Protocol for Multi-Object Tracking , 2015, ArXiv.
[9] 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.
[10] Konrad Schindler,et al. Discrete-continuous optimization for multi-target tracking , 2012, 2012 IEEE Conference on Computer Vision and Pattern Recognition.
[11] Volker Eiselein,et al. Real-Time Multi-human Tracking Using a Probability Hypothesis Density Filter and Multiple Detectors , 2012, 2012 IEEE Ninth International Conference on Advanced Video and Signal-Based Surveillance.
[12] Jian Sun,et al. Deep Residual Learning for Image Recognition , 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[13] Nuno Vasconcelos,et al. Learning Complexity-Aware Cascades for Deep Pedestrian Detection , 2015, 2015 IEEE International Conference on Computer Vision (ICCV).
[14] Stefan Roth,et al. MOT16: A Benchmark for Multi-Object Tracking , 2016, ArXiv.
[15] 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).
[16] Pietro Perona,et al. Pedestrian Detection: An Evaluation of the State of the Art , 2012, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[17] Konrad Schindler,et al. Multi-target tracking by continuous energy minimization , 2011, CVPR 2011.
[18] Yi Li,et al. Deformable Convolutional Networks , 2017, 2017 IEEE International Conference on Computer Vision (ICCV).
[19] Wei Liu,et al. SSD: Single Shot MultiBox Detector , 2015, ECCV.
[20] Iasonas Kokkinos,et al. DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs , 2016, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[21] Rainer Stiefelhagen,et al. Evaluating Multiple Object Tracking Performance: The CLEAR MOT Metrics , 2008, EURASIP J. Image Video Process..
[22] J. Munkres. ALGORITHMS FOR THE ASSIGNMENT AND TRANSIORTATION tROBLEMS* , 1957 .
[23] Namil Kim,et al. Multispectral pedestrian detection: Benchmark dataset and baseline , 2015, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[24] Sergio Guadarrama,et al. Speed/Accuracy Trade-Offs for Modern Convolutional Object Detectors , 2016, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[25] J. Ferryman,et al. PETS2009: Dataset and challenge , 2009, 2009 Twelfth IEEE International Workshop on Performance Evaluation of Tracking and Surveillance.
[26] Trevor Darrell,et al. Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation , 2013, 2014 IEEE Conference on Computer Vision and Pattern Recognition.
[27] Dietrich Paulus,et al. Simple online and realtime tracking with a deep association metric , 2017, 2017 IEEE International Conference on Image Processing (ICIP).
[28] Michael Felsberg,et al. Accurate Scale Estimation for Robust Visual Tracking , 2014, BMVC.
[29] Luc Van Gool,et al. Depth and Appearance for Mobile Scene Analysis , 2007, 2007 IEEE 11th International Conference on Computer Vision.
[30] Hanan Samet,et al. Pruning Filters for Efficient ConvNets , 2016, ICLR.
[31] Mario Sznaier,et al. The Way They Move: Tracking Multiple Targets with Similar Appearance , 2013, 2013 IEEE International Conference on Computer Vision.
[32] Junjie Yan,et al. Multiple Target Tracking Based on Undirected Hierarchical Relation Hypergraph , 2014, 2014 IEEE Conference on Computer Vision and Pattern Recognition.
[33] Luc Van Gool,et al. The Pascal Visual Object Classes Challenge: A Retrospective , 2014, International Journal of Computer Vision.
[34] 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.
[35] 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.