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Tracking of objects in 3D is a fundamental task in computer vision that finds use in a wide range of applications such as autonomous driving, robotics or augmented reality.
On the generalized distance in statistics
Prasanta Chandra Mahalanobis · 1936
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A new approach to linear filtering and prediction problems
Rudolph Emil Kalman · 1960
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Global data association for multi-object tracking using network flows
Zhang Li, Li Yuan, and R. Nevatia · 2008
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Rectified Linear Units Improve Restricted Boltzmann Machines
Vinod Nair and Geoffrey E. Hinton · 2010
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GMCP-Tracker: Global Multi-object Tracking Using Generalized Minimum Clique Graphs
Amir Roshan Zamir, Afshin Dehghan, and Mubarak Shah · 2012
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Vision meets robotics: The KITTI dataset
A Geiger, P Lenz, C Stiller, and R Urtasun · 2013
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Adam: A method for stochastic optimization
Diederik P. Kingma and Jimmy Ba · 2015
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MOTChallenge 2015: Towards a Benchmark for Multi-Target Tracking
Laura Leal-Taixé, Anton Milan, Ian Reid, Stefan Roth, and Konrad Schindler · 2015
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Social LSTM: Human Trajectory Prediction in Crowded Spaces
Alexandre Alahi, Kratarth Goel, Vignesh Ramanathan, Alexandre Robicquet, Li Fei-Fei, and Silvio Savarese · 2016
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MOT16: A Benchmark for Multi-Object Tracking
Anton Milan, Laura Leal-Taixe, Ian Reid, Stefan Roth, and Konrad Schindler · 2016
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Mask R-CNN
K. He, G. Gkioxari, P. Dollár, and R. Girshick · 2017
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Focal Loss for Dense Object Detection
T. Lin, P. Goyal, R. Girshick, K. He, and P. Dollár · 2017
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Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
Shaoqing Ren, Kaiming He, Ross Girshick, and Jian Sun · 2017
Cited alongside, same era.
Multiple People Tracking by Lifted Multicut and Person Re-identification
Siyu Tang, Mykhaylo Andriluka, Bjoern Andres, and Bernt Schiele · 2017
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Learning non-maximum suppression
J. Hosang, R. Benenson, and B. Schiele · 2017
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Tracking Without Bells and Whistles
Philipp Bergmann, Tim Meinhardt, and Laura Leal-Taixe · 2019
Cited alongside, same era.
nuScenes: A multimodal dataset for autonomous driving
Holger Caesar, Varun Bankiti, Alex H. Lang, Sourabh Vora, Venice Erin Liong, Qiang Xu, Anush Krishnan, Yu Pan, Giancarlo Baldan, and Oscar Beijbom · 2019
Cited alongside, same era.
Argoverse: 3D tracking and forecasting with rich maps
Learning a Neural Solver for Multiple Object Tracking
Guillem Braso and Laura Leal-Taixe · 2020
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Probabilistic 3D Multi-Object Tracking for Autonomous Driving
Hsu-kuang Chiu, Antonio Prioletti, Jie Li, and Jeannette Bohg · 2020
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MOT20: A benchmark for multi object tracking in crowded scenes
Patrick Dendorfer, Hamid Rezatofighi, Anton Milan, Javen Shi, Daniel Cremers, Ian Reid, Stefan Roth, Konrad Schindler, and Laura Leal-Taixé · 2020
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Simple Unsupervised Multi-Object Tracking
Shyamgopal Karthik, Ameya Prabhu, and Vineet Gandhi · 2020
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EagerMOT: Real-time 3D Multi-Object Tracking and Segmentation via Sensor Fusion
Aleksandr Kim, Aljosˇa Osˇep, and Laura Leal-Taixe · 2020
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Ming-Fang Chang, John W Lambert, Patsorn Sangkloy, Jagjeet Singh, Slawomir Bak, Andrew Hartnett, De Wang, Peter Carr, Simon Lucey, Deva Ramanan, and James Hays · 2019
Cited alongside, same era.
Rules of the road: Predicting driving behavior with a convolutional model of semantic interactions
Joey Hong, Benjamin Sapp, and James Philbin · 2019
Cited alongside, same era.
Lyft level 5 AV dataset 2019, 2019
R. Kesten, M. Usman, J. Houston, T. Pandya, K. Nadhamuni, A. Ferreira, M. Yuan, B. Low, A. Jain, P. Ondruska, S. Omari, S. Shah, A. Kulkarni, A. Kazakova, C. Tao, L. Platinsky, W. Jiang, and V. Shet · 2019
Cited alongside, same era.
Customized Multi-person Tracker
Liqian Ma, Siyu Tang, Michael J. Black, and Luc Van Gool · 2019
Cited alongside, same era.
Robust Multi-Modality Multi-Object Tracking
Wenwei Zhang, Hui Zhou, Shuyang Sun, Zhe Wang, Jianping Shi, and Chen Change Loy · 2019
Cited alongside, same era.
Class-balanced Grouping and Sampling for Point Cloud 3D Object Detection
Benjin Zhu, Zhengkai Jiang, Xiangxin Zhou, Zeming Li, and Gang Yu · 2019
Cited alongside, same era.
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Scalability in Perception for Autonomous Driving: Waymo Open Dataset
Pei Sun, Henrik Kretzschmar, Xerxes Dotiwalla, Aurelien Chouard, Vijaysai Patnaik, Paul Tsui, James Guo, Yin Zhou, Yuning Chai, Benjamin Caine, Vijay Vasudevan, Wei Han, Jiquan Ngiam, Hang Zhao, Aleksei Timofeev, Scott Ettinger, Maxim Krivokon, Amy Gao, Aditya Joshi, Yu Zhang, Jonathon Shlens, Zhifeng Chen, and Dragomir Anguelov · 2020
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EfficientDet: Scalable and Efficient Object Detection
Mingxing Tan, Ruoming Pang, and Quoc V. Le · 2020
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3D multi-object tracking: A baseline and new evaluation metrics
Xinshuo Weng, Jianren Wang, David Held, and Kris Kitani · 2020
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GNN3DMOT: Graph Neural Network for 3D Multi-Object Tracking With 2D-3D Multi-Feature Learning
Xinshuo Weng, Yongxin Wang, Yunze Man, and Kris M. Kitani · 2020
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Center-based 3D Object Detection and Tracking
Tianwei Yin, Xingyi Zhou, and Philipp Krähenbühl · 2020
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Action Sequence Predictions of Vehicles in Urban Environments using Map and Social Context
Jan-Nico Zaech, Dengxin Dai, Alexander Liniger, and Luc Van Gool · 2020
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