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For many years, multi-object tracking benchmarks have focused on a handful of categories.
Signature verification using a ”Siamese” time delay neural network
Jane Bromley, Isabelle Guyon, Yann LeCun, Eduard Säckinger, and Roopak Shah · 1994
Earlier work this paper cites.
Context aware vision using image-based active recognition
Robert Fisher, J Santos-Victor, and J Crowley · 2001
Earlier work this paper cites.
Robust people tracking with global trajectory optimization
Jerome Berclaz, Francois Fleuret, and Pascal Fua · 2006
Earlier work this paper cites.
Tracking of multiple, partially occluded humans based on static body part detection
Bo Wu and Ram Nevatia · 2006
Earlier work this paper cites.
A linear programming approach for multiple object tracking
Hao Jiang, Sidney Fels, and James J Little · 2007
Earlier work this paper cites.
Evaluating multiple object tracking performance: the clear mot metrics
Keni Bernardin and Rainer Stiefelhagen · 2008
Earlier work this paper cites.
A mobile vision system for robust multi-person tracking
Andreas Ess, Bastian Leibe, Konrad Schindler, and Luc Van Gool · 2008
Earlier work this paper cites.
LabelMe: a database and web-based tool for image annotation
Bryan C Russell, Antonio Torralba, Kevin P Murphy, and William T Freeman · 2008
Earlier work this paper cites.
Global data association for multi-object tracking using network flows
Li Zhang, Yuan Li, and Ramakant Nevatia · 2008
Earlier work this paper cites.
Robust tracking-by-detection using a detector confidence particle filter
Michael D Breitenstein, Fabian Reichlin, Bastian Leibe, Esther Koller-Meier, and Luc Van Gool · 2009
Earlier work this paper cites.
Imagenet: A large-scale hierarchical image database
Jia Deng, Wei Dong, Richard Socher, Li-Jia Li, Kai Li, and Li Fei-Fei · 2009
Earlier work this paper cites.
Learning pedestrian dynamics from the real world
Paul Scovanner and Marshall F Tappen · 2009
Earlier work this paper cites.
Multiple target tracking in world coordinate with single, minimally calibrated camera
Wongun Choi and Silvio Savarese · 2010
Earlier work this paper cites.
Multiple object tracking using k-shortest paths optimization
Jerome Berclaz, Francois Fleuret, Engin Turetken, and Pascal Fua · 2011
Earlier work this paper cites.
Globally-optimal greedy algorithms for tracking a variable number of objects
Hamed Pirsiavash, Deva Ramanan, and Charless C Fowlkes · 2011
Earlier work this paper cites.
Adela Barriuso and Antonio Torralba · 2012
Earlier work this paper cites.
Are we ready for autonomous driving? The KITTI vision benchmark suite
Andreas Geiger, Philip Lenz, and Raquel Urtasun · 2012
Earlier work this paper cites.
Vision meets robotics: The KITTI dataset
Andreas Geiger, Philip Lenz, Christoph Stiller, and Raquel Urtasun · 2013
Earlier work this paper cites.
Segmentation of moving objects by long term video analysis
Peter Ochs, Jitendra Malik, and Thomas Brox · 2013
Earlier work this paper cites.
Online object tracking: A benchmark
Yi Wu, Jongwoo Lim, and Ming-Hsuan Yang · 2013
Earlier work this paper cites.
Learning an image-based motion context for multiple people tracking
Laura Leal-Taixé, Michele Fenzi, Alina Kuznetsova, Bodo Rosenhahn, and Silvio Savarese · 2014
Earlier work this paper cites.
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
Earlier work this paper cites.
Finding action tubes
Georgia Gkioxari and Jitendra Malik · 2015
Earlier work this paper cites.
Faster R-CNN: Towards real-time object detection with region proposal networks
Shaoqing Ren, Kaiming He, Ross Girshick, and Jian Sun · 2015
Earlier work this paper cites.
ImageNet large scale visual recognition challenge
Olga Russakovsky, Jia Deng, Hao Su, Jonathan Krause, Sanjeev Satheesh, Sean Ma, Zhiheng Huang, Andrej Karpathy, Aditya Khosla, Michael Bernstein, et al · 2015
Earlier work this paper cites.
Yfcc100m: The new data in multimedia research
Bart Thomee, David A Shamma, Gerald Friedland, Benjamin Elizalde, Karl Ni, Douglas Poland, Damian Borth, and Li-Jia Li · 2015
Earlier work this paper cites.
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
Cited alongside, same era.
Social LSTM: Human trajectory prediction in crowded spaces
Alexandre Alahi, Kratarth Goel, Vignesh Ramanathan, Alexandre Robicquet, Li Fei-Fei, and Silvio Savarese · 2016
Cited alongside, same era.
Fully-convolutional Siamese networks for object tracking
Luca Bertinetto, Jack Valmadre, Joao F Henriques, Andrea Vedaldi, and Philip HS Torr · 2016
Cited alongside, same era.
Simple online and realtime tracking
Alex Bewley, Zongyuan Ge, Lionel Ott, Fabio Ramos, and Ben Upcroft · 2016
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.
Collaborative deep reinforcement learning for multi-object tracking
Liangliang Ren, Jiwen Lu, Zifeng Wang, Qi Tian, and Jie Zhou · 2018
Later among the works it cites.
Features for multi-target multi-camera tracking and re-identification
Ergys Ristani and Carlo Tomasi · 2018
Later among the works it cites.
Long-term tracking in the wild: A benchmark
Jack Valmadre, Luca Bertinetto, Joao F Henriques, Ran Tao, Andrea Vedaldi, Arnold WM Smeulders, Philip HS Torr, and Efstratios Gavves · 2018
Later among the works it cites.
Video object detection with an aligned spatial-temporal memory
Fanyi Xiao and Yong Jae Lee · 2018
Later among the works it cites.
Youtube-VOS: A large-scale video object segmentation benchmark
Ning Xu, Linjie Yang, Yuchen Fan, Dingcheng Yue, Yuchen Liang, Jianchao Yang, and Thomas Huang · 2018
Later among the works it cites.
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Matej Kristan, Jiri Matas, Aleš Leonardis, Tomáš Vojíř, Roman Pflugfelder, Gustavo Fernandez, Georg Nebehay, Fatih Porikli, and Luka Čehovin · 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.
A benchmark dataset and evaluation methodology for video object segmentation
Federico Perazzi, Jordi Pont-Tuset, Brian McWilliams, Luc Van Gool, Markus Gross, and Alexander Sorkine-Hornung · 2016
Cited alongside, same era.
Performance measures and a data set for multi-target, multi-camera tracking
Ergys Ristani, Francesco Solera, Roger Zou, Rita Cucchiara, and Carlo Tomasi · 2016
Cited alongside, same era.
Hollywood in homes: Crowdsourcing data collection for activity understanding
Gunnar A Sigurdsson, Gül Varol, Xiaolong Wang, Ali Farhadi, Ivan Laptev, and Abhinav Gupta · 2016
Cited alongside, same era.
Siamese instance search for tracking
Ran Tao, Efstratios Gavves, and Arnold WM Smeulders · 2016
Cited alongside, same era.
One-shot video object segmentation
Sergi Caelles, Kevis-Kokitsi Maninis, Jordi Pont-Tuset, Laura Leal-Taixé, Daniel Cremers, and Luc Van Gool · 2017
Cited alongside, same era.
Zheng Zhu, Qiang Wang, Bo Li, Wei Wu, Junjie Yan, and Weiming Hu · 2018
Later among the works it cites.
Tracking without bells and whistles
Philipp Bergmann, Tim Meinhardt, and Laura Leal-Taixe · 2019
Later among the works it cites.
Learning discriminative model prediction for tracking
Goutam Bhat, Martin Danelljan, Luc Van Gool, and Radu Timofte · 2019
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The 2019 DAVIS challenge on VOS: Unsupervised multi-object segmentation
Sergi Caelles, Jordi Pont-Tuset, Federico Perazzi, Alberto Montes, Kevis-Kokitsi Maninis, and Luc Van Gool · 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, et al · 2019
Later among the works it cites.
Atom: Accurate tracking by overlap maximization
Martin Danelljan, Goutam Bhat, Fahad Shahbaz Khan, and Michael Felsberg · 2019
Later among the works it cites.
LaSOT: A high-quality benchmark for large-scale single object tracking
Heng Fan, Liting Lin, Fan Yang, Peng Chu, Ge Deng, Sijia Yu, Hexin Bai, Yong Xu, Chunyuan Liao, and Haibin Ling · 2019
Later among the works it cites.
LVIS: A dataset for large vocabulary instance segmentation
Agrim Gupta, Piotr Dollar, and Ross Girshick · 2019
Later among the works it cites.
py-motmetrics
Christoph Heindl and Jack Valmadre · 2019
Later among the works it cites.
Lucid data dreaming for video object segmentation
Anna Khoreva, Rodrigo Benenson, Eddy Ilg, Thomas Brox, and Bernt Schiele · 2019
Later among the works it cites.
Siamrpn++: Evolution of siamese visual tracking with very deep networks
Bo Li, Wei Wu, Qiang Wang, Fangyi Zhang, Junliang Xing, and Junjie Yan · 2019
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A framework for effective known-item search in video
Jakub Lokoč, Gregor Kovalčík, Tomás Souček, Jaroslav Moravec, and Premysl Čech · 2019
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Annotating objects and relations in user-generated videos
Xindi Shang, Donglin Di, Junbin Xiao, Yu Cao, Xun Yang, and Tat-Seng Chua · 2019
Later among the works it cites.
MOTS: Multi-object tracking and segmentation
Paul Voigtlaender, Michael Krause, Aljosa Osep, Jonathon Luiten, Berin Balachandar Gnana Sekar, Andreas Geiger, and Bastian Leibe · 2019
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Fast online object tracking and segmentation: A unifying approach
Qiang Wang, Li Zhang, Luca Bertinetto, Weiming Hu, and Philip HS Torr · 2019
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Learning unsupervised video object segmentation through visual attention
Wenguan Wang, Hongmei Song, Shuyang Zhao, Jianbing Shen, Sanyuan Zhao, Steven CH Hoi, and Haibin Ling · 2019
Later among the works it cites.
Detectron2
Yuxin Wu, Alexander Kirillov, Francisco Massa, Wan-Yen Lo, and Ross Girshick · 2019
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Video instance segmentation
Linjie Yang, Yuchen Fan, and Ning Xu · 2019
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HACS: Human action clips and segments dataset for recognition and temporal localization
Hang Zhao, Antonio Torralba, Lorenzo Torresani, and Zhicheng Yan · 2019
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Bdd100k: A diverse driving dataset for heterogeneous multitask learning
Fisher Yu, Haofeng Chen, Xin Wang, Wenqi Xian, Yingying Chen, Fangchen Liu, Vashisht Madhavan, and Trevor Darrell · 2020
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