暂无分享,去创建一个
Silvio Savarese | Amir Sadeghian | Roberto Martin Martin | JunYoung Gwak | Abhijeet Shenoi | Hamid Rezatofighi | Patrick Goebel | Mihir Patel | S. Savarese | Amir Sadeghian | JunYoung Gwak | Hamid Rezatofighi | P. Goebel | R. M. Martin | Mihir Patel | Abhijeet Shenoi
[1] Francesc Moreno-Noguer,et al. Deconvolutional networks for point-cloud vehicle detection and tracking in driving scenarios , 2017, 2017 European Conference on Mobile Robots (ECMR).
[2] Jianren Wang,et al. 3D Multi-Object Tracking: A Baseline and New Evaluation Metrics , 2019 .
[3] T. Başar,et al. A New Approach to Linear Filtering and Prediction Problems , 2001 .
[4] Kris Kitani,et al. A Baseline for 3D Multi-Object Tracking , 2019, ArXiv.
[5] Dietrich Paulus,et al. Simple online and realtime tracking with a deep association metric , 2017, 2017 IEEE International Conference on Image Processing (ICIP).
[6] Bastian Leibe,et al. Track to Reconstruct and Reconstruct to Track , 2020, IEEE Robotics and Automation Letters.
[7] Emanuele Menegatti,et al. A portable three-dimensional LIDAR-based system for long-term and wide-area people behavior measurement , 2019, International Journal of Advanced Robotic Systems.
[8] James M. Rehg,et al. Multiple Hypothesis Tracking Revisited , 2015, 2015 IEEE International Conference on Computer Vision (ICCV).
[9] Konrad Schindler,et al. Online Multi-Target Tracking Using Recurrent Neural Networks , 2016, AAAI.
[10] Yaakov Bar-Shalom,et al. Sonar tracking of multiple targets using joint probabilistic data association , 1983 .
[11] Silvio Savarese,et al. Learning to Track: Online Multi-object Tracking by Decision Making , 2015, 2015 IEEE International Conference on Computer Vision (ICCV).
[12] Matteo Munaro,et al. Fast RGB-D people tracking for service robots , 2014, Auton. Robots.
[13] Timothy D. Barfoot,et al. aUToTrack: A Lightweight Object Detection and Tracking System for the SAE AutoDrive Challenge , 2019, 2019 16th Conference on Computer and Robot Vision (CRV).
[14] Martin Lauer,et al. Online Multi-Object Tracking Using Joint Domain Information in Traffic Scenarios , 2020, IEEE Transactions on Intelligent Transportation Systems.
[15] Krzysztof Czarnecki,et al. FANTrack: 3D Multi-Object Tracking with Feature Association Network , 2019, 2019 IEEE Intelligent Vehicles Symposium (IV).
[16] Qiang Xu,et al. nuScenes: A Multimodal Dataset for Autonomous Driving , 2019, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[17] Y. Bar-Shalom,et al. The probabilistic data association filter , 2009, IEEE Control Systems.
[18] Han Wang,et al. Multiple Object Tracking With Attention to Appearance, Structure, Motion and Size , 2019, IEEE Access.
[19] Shao-Yi Chien,et al. Vehicle Re-identification with the Space-Time Prior , 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).
[20] Ruigang Yang,et al. The ApolloScape Dataset for Autonomous Driving , 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).
[21] Ian D. Reid,et al. Joint Probabilistic Data Association Revisited , 2015, 2015 IEEE International Conference on Computer Vision (ICCV).
[22] Ali Farhadi,et al. You Only Look Once: Unified, Real-Time Object Detection , 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[23] Mubarak Shah,et al. Deep Affinity Network for Multiple Object Tracking , 2018, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[24] Christian Heipke,et al. CONFIDENCE-AWARE PEDESTRIAN TRACKING USING A STEREO CAMERA , 2019 .
[25] 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.
[26] 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).
[27] Raquel Urtasun,et al. End-to-end Learning of Multi-sensor 3D Tracking by Detection , 2018, 2018 IEEE International Conference on Robotics and Automation (ICRA).
[28] Ross B. Girshick,et al. Mask R-CNN , 2017, 1703.06870.
[29] Ian D. Reid,et al. Joint Probabilistic Matching Using m-Best Solutions , 2016, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[30] Marc Hanheide,et al. Real-time multisensor people tracking for human-robot spatial interaction , 2015 .
[31] Leonidas J. Guibas,et al. Frustum PointNets for 3D Object Detection from RGB-D Data , 2017, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[32] Kai Oliver Arras,et al. Tracking people in 3D using a bottom-up top-down detector , 2011, 2011 IEEE International Conference on Robotics and Automation.
[33] Ivan E. Sutherland,et al. Reentrant polygon clipping , 1974, Commun. ACM.
[34] Stefan Roth,et al. MOT16: A Benchmark for Multi-Object Tracking , 2016, ArXiv.
[35] Daniel Cremers,et al. CVPR19 Tracking and Detection Challenge: How crowded can it get? , 2019, ArXiv.
[36] Yu-Wing Tai,et al. Accurate Single Stage Detector Using Recurrent Rolling Convolution , 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[37] Trevor Darrell,et al. Joint Monocular 3D Vehicle Detection and Tracking , 2018, 2019 IEEE/CVF International Conference on Computer Vision (ICCV).
[38] Timm Linder,et al. People Detection, Tracking and Visualization Using ROS on a Mobile Service Robot , 2016 .
[39] Laura Leal-Taixé,et al. Tracking Without Bells and Whistles , 2019, 2019 IEEE/CVF International Conference on Computer Vision (ICCV).
[40] Wei Xu,et al. Tracklet Association Tracker: An End-to-End Learning-based Association Approach for Multi-Object Tracking , 2018, ArXiv.
[41] Wongun Choi,et al. Near-Online Multi-target Tracking with Aggregated Local Flow Descriptor , 2015, 2015 IEEE International Conference on Computer Vision (ICCV).
[42] Rainer Stiefelhagen,et al. Evaluating Multiple Object Tracking Performance: The CLEAR MOT Metrics , 2008, EURASIP J. Image Video Process..
[43] Rooji Jinan,et al. Particle Filters for Multiple Target Tracking , 2016 .
[44] Wei Wu,et al. Multi-Object Tracking with Multiple Cues and Switcher-Aware Classification , 2019, ArXiv.
[45] 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).
[46] James Philbin,et al. FaceNet: A unified embedding for face recognition and clustering , 2015, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[47] Karl Granström,et al. Mono-Camera 3D Multi-Object Tracking Using Deep Learning Detections and PMBM Filtering , 2018, 2018 IEEE Intelligent Vehicles Symposium (IV).
[48] Jenq-Neng Hwang,et al. Exploit the Connectivity: Multi-Object Tracking with TrackletNet , 2018, ACM Multimedia.
[49] Paulo Peixoto,et al. 3D object tracking using RGB and LIDAR data , 2016, 2016 IEEE 19th International Conference on Intelligent Transportation Systems (ITSC).
[50] Ming-Hsuan Yang,et al. Bayesian Multi-object Tracking Using Motion Context from Multiple Objects , 2015, 2015 IEEE Winter Conference on Applications of Computer Vision.
[51] Silvio Savarese,et al. Subcategory-Aware Convolutional Neural Networks for Object Proposals and Detection , 2016, 2017 IEEE Winter Conference on Applications of Computer Vision (WACV).
[52] Pietro Perona,et al. Microsoft COCO: Common Objects in Context , 2014, ECCV.
[53] Liang Zheng,et al. Towards Real-Time Multi-Object Tracking , 2020, ECCV.
[54] Harold W. Kuhn,et al. The Hungarian method for the assignment problem , 1955, 50 Years of Integer Programming.
[55] Paul Newman,et al. 1 year, 1000 km: The Oxford RobotCar dataset , 2017, Int. J. Robotics Res..
[56] Wilfried Philips,et al. Behavioral Pedestrian Tracking Using a Camera and LiDAR Sensors on a Moving Vehicle , 2019, Sensors.
[57] Andreas Geiger,et al. Vision meets robotics: The KITTI dataset , 2013, Int. J. Robotics Res..
[58] Jian Sun,et al. AlignedReID: Surpassing Human-Level Performance in Person Re-Identification , 2017, ArXiv.
[59] Bin Yang,et al. Fast and Furious: Real Time End-to-End 3D Detection, Tracking and Motion Forecasting with a Single Convolutional Net , 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[60] Kwangjin Yoon,et al. Online Multiple Pedestrian Tracking using Deep Temporal Appearance Matching Association , 2019, Inf. Sci..
[61] Omar Y. Al-Jarrah,et al. A Survey on 3D Object Detection Methods for Autonomous Driving Applications , 2019, IEEE Transactions on Intelligent Transportation Systems.
[62] John K. Tsotsos,et al. Joint Attention in Autonomous Driving (JAAD) , 2016, ArXiv.