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MOTChallenge: A Benchmark for Single-Camera Multiple Target Tracking

MOTChallenge: A Benchmark for Single-Camera Multiple Target Tracking

15 October 2020
Patrick Dendorfer
Aljosa Osep
Anton Milan
Konrad Schindler
Daniel Cremers
Ian Reid
Stefan Roth
Laura Leal-Taixé
    VOT
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Papers citing "MOTChallenge: A Benchmark for Single-Camera Multiple Target Tracking"

17 / 17 papers shown
Title
YOLO11-JDE: Fast and Accurate Multi-Object Tracking with Self-Supervised Re-ID
YOLO11-JDE: Fast and Accurate Multi-Object Tracking with Self-Supervised Re-ID
Iñaki Erregue
Kamal Nasrollahi
Sergio Escalera
VOT
50
0
0
23 Jan 2025
TMT-VIS: Taxonomy-aware Multi-dataset Joint Training for Video Instance
  Segmentation
TMT-VIS: Taxonomy-aware Multi-dataset Joint Training for Video Instance Segmentation
Rongkun Zheng
Lu Qi
Xi Chen
Yi Wang
Kun Wang
Yu Qiao
Hengshuang Zhao
17
2
0
11 Dec 2023
Neural Texture Puppeteer: A Framework for Neural Geometry and Texture
  Rendering of Articulated Shapes, Enabling Re-Identification at Interactive
  Speed
Neural Texture Puppeteer: A Framework for Neural Geometry and Texture Rendering of Articulated Shapes, Enabling Re-Identification at Interactive Speed
Urs Waldmann
O. Johannsen
Bastian Goldluecke
3DH
19
1
0
28 Nov 2023
OccluTrack: Rethinking Awareness of Occlusion for Enhancing Multiple Pedestrian Tracking
OccluTrack: Rethinking Awareness of Occlusion for Enhancing Multiple Pedestrian Tracking
Jianjun Gao
Yi Wang
Kim-Hui Yap
Kratika Garg
Bo Han
79
1
0
19 Sep 2023
3D-MuPPET: 3D Multi-Pigeon Pose Estimation and Tracking
3D-MuPPET: 3D Multi-Pigeon Pose Estimation and Tracking
Urs Waldmann
A. H. H. Chan
Hemal Naik
Nagy Máté
I. Couzin
Oliver Deussen
Bastian Goldlücke
Fumihiro Kano
19
14
0
29 Aug 2023
Semi-Automated Computer Vision based Tracking of Multiple Industrial
  Entities -- A Framework and Dataset Creation Approach
Semi-Automated Computer Vision based Tracking of Multiple Industrial Entities -- A Framework and Dataset Creation Approach
Jérôme Rutinowski
Hazem Youssef
Sven Franke
Irfan Fachrudin Priyanta
Frederik Polachowski
Moritz Roidl
Christopher Reining
9
6
0
03 Apr 2023
Tracking Passengers and Baggage Items using Multiple Overhead Cameras at Security Checkpoints
Abubakar Siddique
Henry Medeiros
17
5
0
31 Dec 2022
Zero Touch Coordinated UAV Network Formation for 360° Views of a
  Moving Ground Target in Remote VR Applications
Zero Touch Coordinated UAV Network Formation for 360° Views of a Moving Ground Target in Remote VR Applications
Yuhui Wang
Junaid Farooq
11
6
0
05 Nov 2022
Transformer-based assignment decision network for multiple object tracking
Transformer-based assignment decision network for multiple object tracking
Athena Psalta
Vasileios Tsironis
K. Karantzalos
VOT
66
9
0
06 Aug 2022
Is an Object-Centric Video Representation Beneficial for Transfer?
Is an Object-Centric Video Representation Beneficial for Transfer?
Chuhan Zhang
Ankush Gupta
Andrew Zisserman
ViT
19
26
0
20 Jul 2022
MOTCOM: The Multi-Object Tracking Dataset Complexity Metric
MOTCOM: The Multi-Object Tracking Dataset Complexity Metric
Malte Pedersen
Joakim Bruslund Haurum
Patrick Dendorfer
T. Moeslund
VOT
14
1
0
20 Jul 2022
Simple Cues Lead to a Strong Multi-Object Tracker
Simple Cues Lead to a Strong Multi-Object Tracker
Jenny Seidenschwarz
Guillem Brasó
Victor Castro Serrano
Ismail Elezi
Laura Leal-Taixé
VOT
28
48
0
09 Jun 2022
Multi-Object Tracking and Segmentation with a Space-Time Memory Network
Multi-Object Tracking and Segmentation with a Space-Time Memory Network
Mehdi Miah
Guillaume-Alexandre Bilodeau
Nicolas Saunier
VOS
VOT
39
3
0
21 Oct 2021
Do Different Tracking Tasks Require Different Appearance Models?
Do Different Tracking Tasks Require Different Appearance Models?
Zhongdao Wang
Hengshuang Zhao
Yali Li
Shengjin Wang
Philip H. S. Torr
Luca Bertinetto
27
80
0
05 Jul 2021
Enhancing the Association in Multi-Object Tracking via Neighbor Graph
Enhancing the Association in Multi-Object Tracking via Neighbor Graph
Tianyi Liang
L. Lan
Zhigang Luo
VOT
14
16
0
01 Jul 2020
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
Interaction Networks for Learning about Objects, Relations and Physics
Interaction Networks for Learning about Objects, Relations and Physics
Peter W. Battaglia
Razvan Pascanu
Matthew Lai
Danilo Jimenez Rezende
Koray Kavukcuoglu
AI4CE
OCL
PINN
GNN
255
1,394
0
01 Dec 2016
1