Multi-Object Tracking
70 papers with code • 8 benchmarks • 11 datasets
Benchmarks
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MOTChallenge
MOT16
MOT17
Virtual KITTI
MOT15
BDD100K
Virtual KITTI 2
TAO
PathTrack
MOT20
Subtasks
Greatest papers with code
Real Time Pear Fruit Detection and Counting Using YOLOv4 Models and Deep SORT
AlexeyAB/darknet
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•
Sensors 2021
In terms of accuracy, YOLOv4-CSP was observed as the optimal model, with an AP@0. 50 of 98%.
SMOT: Single-Shot Multi Object Tracking
dmlc/gluon-cv
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•
We combine this scheme with SSD detectors by proposing a novel tracking anchor assignment module.
FairMOT: On the Fairness of Detection and Re-Identification in Multiple Object Tracking
ifzhang/FairMOT
•
•
There has been remarkable progress on object detection and re-identification (re-ID) in recent years which are the key components of multi-object tracking.
Ranked #1 on
Multi-Object Tracking
on 2DMOT15
(using extra training data)
Towards Real-Time Multi-Object Tracking
Zhongdao/Towards-Realtime-MOT
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•
ECCV 2020
In this paper, we propose an MOT system that allows target detection and appearance embedding to be learned in a shared model.
Ranked #9 on
Multi-Object Tracking
on MOT16
(using extra training data)
Tracking Objects as Points
xingyizhou/CenterTrack
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•
ECCV 2020
Nowadays, tracking is dominated by pipelines that perform object detection followed by temporal association, also known as tracking-by-detection.
Ranked #2 on
Multiple Object Tracking
on KITTI Tracking test
3D Multi-Object Tracking: A Baseline and New Evaluation Metrics
Additionally, 3D MOT datasets such as KITTI evaluate MOT methods in the 2D space and standardized 3D MOT evaluation tools are missing for a fair comparison of 3D MOT methods.
Ranked #2 on
3D Multi-Object Tracking
on KITTI
Detect-and-Track: Efficient Pose Estimation in Videos
facebookresearch/DetectAndTrack
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•
CVPR 2018
This paper addresses the problem of estimating and tracking human body keypoints in complex, multi-person video.
Ranked #6 on
Keypoint Detection
on COCO test-challenge
Tracking without bells and whistles
phil-bergmann/tracking_wo_bnw
•
•
ICCV 2019
Therefore, we motivate our approach as a new tracking paradigm and point out promising future research directions.
Ranked #1 on
Online Multi-Object Tracking
on MOT17
Real-time Multiple People Tracking with Deeply Learned Candidate Selection and Person Re-Identification
longcw/MOTDT
•
•
Online multi-object tracking is a fundamental problem in time-critical video analysis applications.
Ranked #3 on
Online Multi-Object Tracking
on MOT16
Large-Scale Person Re-Identification
Multi-Object Tracking
+2
How To Train Your Deep Multi-Object Tracker
yihongXU/deepMOT
•
•
CVPR 2020
In this paper, we bridge this gap by proposing a differentiable proxy of MOTA and MOTP, which we combine in a loss function suitable for end-to-end training of deep multi-object trackers.
Ranked #4 on
Multi-Object Tracking
on 2D MOT 2015