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This paper explores a pragmatic approach to multiple object tracking where the main focus is to associate objects efficiently for online and realtime applications.
“The Hungarian method for the assignment problem,”
H. W. Kuhn, · 1955
Earlier work this paper cites.
“A New Approach to Linear Filtering and Prediction Problems,”
R. Kalman, · 1960
Earlier work this paper cites.
“An Algorithm for Tracking Multiple Targets,”
D. Reid, · 1979
Earlier work this paper cites.
Tracking and data association
Y. Bar-Shalom, · 1987
Earlier work this paper cites.
“Markov Chain Monte Carlo Data Association for General Multiple-Target Tracking Problems,”
S. Oh, S. Russell, and S. Sastry, · 2004
Earlier work this paper cites.
“Multi-Object Tracking Through Simultaneous Long Occlusions and Split-Merge Conditions,”
A. Perera, C. Srinivas, A. Hoogs, and G. Brooksby, · 2006
Earlier work this paper cites.
“Evaluating Multiple Object Tracking Performance: The CLEAR MOT Metrics,”
K. Bernardin and R. Stiefelhagen, · 2008
Earlier work this paper cites.
“Learning to associate: HybridBoosted multi-target tracker for crowded scene,”
Y. Li, C. Huang, and R. Nevatia, · 2009
Earlier work this paper cites.
“Globally-optimal greedy algorithms for tracking a variable number of objects,”
H. Pirsiavash, D. Ramanan, and C. Fowlkes, · 2011
Earlier work this paper cites.
“The way they move: Tracking multiple targets with similar appearance,”
C. Dicle, M. Sznaier, and O. Camps, · 2013
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“Fast Feature Pyramids for Object Detection,”
P. Dollar, R. Appel, S. Belongie, and P. Perona, · 2014
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“Robust Online Multi-Object Tracking based on Tracklet Confidence and Online Discriminative Appearance Learning,”
S. H. Bae and K. J. Yoon, · 2014
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“Online Self-Supervised Multi-Instance Segmentation of Dynamic Objects,”
A. Bewley, V. Guizilini, F. Ramos, and B. Upcroft, · 2014
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“3D Traffic Scene Understanding from Movable Platforms,”
A. Geiger, M. Lauer, C. Wojek, C. Stiller, and R. Urtasun, · 2014
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“Visualizing and Understanding Convolutional Networks,”
M. Zeiler and R. Fergus, · 2014
“Bayesian Multi-Object Tracking Using Motion Context from Multiple Objects,”
J. H. Yoon, M. H. Yang, J. Lim, and K. J. Yoon, · 2015
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“MOTChallenge 2015: Towards a Benchmark for Multi-Target Tracking,”
L. Leal-Taixé, A. Milan, I. Reid, S. Roth, and K. Schindler, · 2015
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“Near-Online Multi-target Tracking with Aggregated Local Flow Descriptor,”
W. Choi, · 2015
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“Learning to Track : Online Multi-Object Tracking by Decision Making,”
Y. Xiang, A. Alahi, and S. Savarese, · 2015
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“Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks,”
S. Ren, K. He, R. Girshick, and J. Sun, · 2015
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“Temporal Dynamic Appearance Modeling for Online Multi-Person Tracking,”
Y. Min and J. Yunde, · 2015
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“Joint Probabilistic Data Association Revisited,”
S. H. Rezatofighi, A. Milan, Z. Zhang, A. Dick, Q. Shi, and I. Reid, · 2015
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“Multiple Hypothesis Tracking Revisited,”
C. Kim, F. Li, A. Ciptadi, and J. M. Rehg, · 2015
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“Very Deep Convolutional Networks for Large-Scale Image Recognition,”
K. Simonyan and A. Zisserman, · 2015
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“ALExTRAC: Affinity Learning by Exploring Temporal Reinforcement within Association Chains,”
A. Bewley, L. Ott, F. Ramos, and B. Upcroft, · 2016
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