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Vehicle 3D extents and trajectories are critical cues for predicting the future location of vehicles and planning future agent ego-motion based on those predictions.
Object tracking: A survey
Alper Yilmaz, Omar Javed, and Mubarak Shah · 2006
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Evaluating multiple object tracking performance: the clear mot metrics
Keni Bernardin and Rainer Stiefelhagen · 2008
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Visual tracking with online multiple instance learning
Boris Babenko, Ming-Hsuan Yang, and Serge Belongie · 2009
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Visual object tracking using adaptive correlation filters
David S Bolme, J Ross Beveridge, Bruce A Draper, and Yui Man Lui · 2010
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Are we ready for autonomous driving? the kitti vision benchmark suite
Andreas Geiger, Philip Lenz, and Raquel Urtasun · 2012
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Tracking-learning-detection
Zdenek Kalal, Krystian Mikolajczyk, and Jiri Matas · 2012
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Adaptive appearance modeling for video tracking: Survey and evaluation
Samuele Salti, Andrea Cavallaro, and Luigi Di Stefano · 2012
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Multispectral pedestrian detection: Benchmark dataset and baseline
Soonmin Hwang, Jaesik Park, Namil Kim, Yukyung Choi, and In So Kweon · 2013
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Depth map prediction from a single image using a multi-scale deep network
David Eigen, Christian Puhrsch, and Rob Fergus · 2014
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Rich feature hierarchies for accurate object detection and semantic segmentation
Ross Girshick, Jeff Donahue, Trevor Darrell, and Jitendra Malik · 2014
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Microsoft coco: Common objects in context
Tsung-Yi Lin, Michael Maire, Serge Belongie, James Hays, Pietro Perona, Deva Ramanan, Piotr Dollár, and C Lawrence Zitnick · 2014
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Visual tracking: An experimental survey
Arnold WM Smeulders, Dung M Chu, Rita Cucchiara, Simone Calderara, Afshin Dehghan, and Mubarak Shah · 2014
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Near-online multi-target tracking with aggregated local flow descriptor
Wongun Choi · 2015
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Fast r-cnn
Ross Girshick · 2015
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The visual object tracking vot2015 challenge results
Matej Kristan, Jiri Matas, Ales Leonardis, Michael Felsberg, Luka Cehovin, Gustavo Fernández, Tomas Vojir, Gustav Hager, Georg Nebehay, and Roman Pflugfelder · 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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Followme: Efficient online min-cost flow tracking with bounded memory and computation
Philip Lenz, Andreas Geiger, and Raquel Urtasun · 2015
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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 · 2015
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Ua-detrac: A new benchmark and protocol for multi-object detection and tracking
Longyin Wen, Dawei Du, Zhaowei Cai, Zhen Lei, Ming-Ching Chang, Honggang Qi, Jongwoo Lim, Ming-Hsuan Yang, and Siwei Lyu · 2015
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Learning to track: Online multi-object tracking by decision making
Yu Xiang, Alexandre Alahi, and Silvio Savarese · 2015
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Fully-convolutional siamese networks for object tracking
Luca Bertinetto, Jack Valmadre, Joao F Henriques, Andrea Vedaldi, and Philip HS Torr · 2016
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Simple online and realtime tracking
Alex Bewley, Zongyuan Ge, Lionel Ott, Fabio Ramos, and Ben Upcroft · 2016
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The cityscapes dataset for semantic urban scene understanding
Marius Cordts, Mohamed Omran, Sebastian Ramos, Timo Rehfeld, Markus Enzweiler, Rodrigo Benenson, Uwe Franke, Stefan Roth, and Bernt Schiele · 2016
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Virtual worlds as proxy for multi-object tracking analysis
Adrien Gaidon, Qiao Wang, Yohann Cabon, and Eleonora Vig · 2016
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Struck: Structured output tracking with kernels
Sam Hare, Stuart Golodetz, Amir Saffari, Vibhav Vineet, Ming-Ming Cheng, Stephen L Hicks, and Philip HS Torr · 2016
1 year, 1000 km: The oxford robotcar dataset
Will Maddern, Geoffrey Pascoe, Chris Linegar, and Paul Newman · 2017
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3d bounding box estimation using deep learning and geometry
Arsalan Mousavian, Dragomir Anguelov, John Flynn, and Jana Košecká · 2017
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Combined image- and world-space tracking in traffic scenes
Aljosa Osep, Wolfgang Mehner, Markus Mathias, and Bastian Leibe · 2017
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Yolo9000: Better, faster, stronger
Joseph Redmon and Ali Farhadi · 2017
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Accurate single stage detector using recurrent rolling convolution
Jimmy Ren, Xiaohao Chen, Jianbo Liu, Wenxiu Sun, Jiahao Pang, Qiong Yan, Yu-Wing Tai, and Li Xu · 2017
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Playing for benchmarks
Stephan R Richter, Zeeshan Hayder, and Vladlen Koltun · 2017
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Cited alongside, same era.
Learning to track at 100 fps with deep regression networks
David Held, Sebastian Thrun, and Silvio Savarese · 2016
Cited alongside, same era.
Online multi-object tracking via structural constraint event aggregation
Ju Hong Yoon, Chang-Ryeol Lee, Ming-Hsuan Yang, and Kuk-Jin Yoon · 2016
Cited alongside, same era.
Multi-class multi-object tracking using changing point detection
Byungjae Lee, Enkhbayar Erdenee, SongGuo Jin, Mi Young Nam, Young Giu Jung, and Phill-Kyu Rhee · 2016
Cited alongside, same era.
Ssd: Single shot multibox detector
Wei Liu, Dragomir Anguelov, Dumitru Erhan, Christian Szegedy, Scott Reed, Cheng-Yang Fu, and Alexander C Berg · 2016
Cited alongside, same era.
Mot16: A benchmark for multi-object tracking
Anton Milan, Laura Leal-Taixé, Ian Reid, Stefan Roth, and Konrad Schindler · 2016
Cited alongside, same era.
You only look once: Unified, real-time object detection
Joseph Redmon, Santosh Divvala, Ross Girshick, and Ali Farhadi · 2016
Cited alongside, same era.
Tracking the untrackable: Learning to track multiple cues with long-term dependencies
Amir Sadeghian, Alexandre Alahi, and Silvio Savarese · 2017
Later among the works it cites.
Simple online and realtime tracking with a deep association metric
Nicolai Wojke, Alex Bewley, and Dietrich Paulus · 2017
Later among the works it cites.
End-to-end learning of multi-sensor 3d tracking by detection
Davi Frossard and Raquel Urtasun · 2018
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A lightweight online multiple object vehicle tracking method
Gültekin Gündüz and Tankut Acarman · 2018
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Free supervision from video games
Philipp Krähenbühl · 2018
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Stereo vision-based semantic 3d object and ego-motion tracking for autonomous driving
Peiliang Li, Tong Qin, and andShaojie Shen · 2018
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Mono-camera 3d multi-object tracking using deep learning detections and pmbm filtering
Samuel Scheidegger, Joachim Benjaminsson, Emil Rosenberg, Amrit Krishnan, and Karl Granstrom · 2018
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Beyond pixels: Leveraging geometry and shape cues for online multi-object tracking
Sarthak Sharma, Junaid Ahmed Ansari, J. Krishna Murthy, and K. Madhava Krishna · 2018
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Deep layer aggregation
Fisher Yu, Dequan Wang, Evan Shelhamer, and Trevor Darrell · 2018
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Bdd100k: A diverse driving video database with scalable annotation tooling
Fisher Yu, Wenqi Xian, Yingying Chen, Fangchen Liu, Mike Liao, Vashisht Madhavan, and Trevor Darrell · 2018
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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
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Argoverse: 3d tracking and forecasting with rich maps
Ming-Fang Chang, John Lambert, Patsorn Sangkloy, Jagjeet Singh, Slawomir Bak, Andrew Hartnett, De Wang, Peter Carr, Simon Lucey, Deva Ramanan, and James Hays · 2019
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MMDetection: Open mmlab detection toolbox and benchmark
Kai Chen, Jiaqi Wang, Jiangmiao Pang, Yuhang Cao, Yu Xiong, Xiaoxiao Li, Shuyang Sun, Wansen Feng, Ziwei Liu, Jiarui Xu, Zheng Zhang, Dazhi Cheng, Chenchen Zhu, Tianheng Cheng, Qijie Zhao, Buyu Li, Xin Lu, Rui Zhu, Yue Wu, Jifeng Dai, Jingdong Wang, Jianping Shi, Wanli Ouyang, Chen Change Loy, and Dahua Lin · 2019
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