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Making Higher Order MOT Scalable: An Efficient Approximate Solver for
  Lifted Disjoint Paths

Making Higher Order MOT Scalable: An Efficient Approximate Solver for Lifted Disjoint Paths

24 August 2021
Andrea Hornáková
T. Kaiser
Paul Swoboda
Michal Rolínek
Bodo Rosenhahn
Roberto Henschel
    VOT
ArXivPDFHTML

Papers citing "Making Higher Order MOT Scalable: An Efficient Approximate Solver for Lifted Disjoint Paths"

6 / 6 papers shown
Title
Multi-Scene Generalized Trajectory Global Graph Solver with Composite
  Nodes for Multiple Object Tracking
Multi-Scene Generalized Trajectory Global Graph Solver with Composite Nodes for Multiple Object Tracking
Yanlei Gao
Haojun Xu
Nannan Wang
Jie Li
Xinbo Gao
VOT
24
4
0
14 Dec 2023
Multi-Object Tracking and Segmentation via Neural Message Passing
Multi-Object Tracking and Segmentation via Neural Message Passing
Guillem Brasó
Orcun Cetintas
Laura Leal-Taixe
VOT
16
21
0
15 Jul 2022
Observation-Centric SORT: Rethinking SORT for Robust Multi-Object
  Tracking
Observation-Centric SORT: Rethinking SORT for Robust Multi-Object Tracking
Jinkun Cao
Jiangmiao Pang
Xinshuo Weng
Rawal Khirodkar
Kris M. Kitani
VOT
28
450
0
27 Mar 2022
MOT20: A benchmark for multi object tracking in crowded scenes
MOT20: A benchmark for multi object tracking in crowded scenes
Patrick Dendorfer
Hamid Rezatofighi
Anton Milan
Javen Qinfeng Shi
Daniel Cremers
Ian Reid
Stefan Roth
Konrad Schindler
Laura Leal-Taixé
VOT
161
620
0
19 Mar 2020
Deep Cosine Metric Learning for Person Re-Identification
Deep Cosine Metric Learning for Person Re-Identification
N. Wojke
Alex Bewley
31
349
0
02 Dec 2018
Simple Online and Realtime Tracking with a Deep Association Metric
Simple Online and Realtime Tracking with a Deep Association Metric
N. Wojke
Alex Bewley
Dietrich Paulus
VOT
217
3,407
0
21 Mar 2017
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