Multi-Object Tracking Edit Task
Computer Vision • Object Tracking
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Benchmarks
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Subtasks
Datasets
Greatest papers with code
SMOT: Single-Shot Multi Object Tracking
• dmlc/gluon-cv
• 
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 MOT16
(using extra training data)
FAIRNESS MULTI-OBJECT TRACKING MULTIPLE OBJECT TRACKING OBJECT DETECTION
Towards Real-Time Multi-Object Tracking
ECCV 2020
• Zhongdao/Towards-Realtime-MOT
•
In this paper, we propose an MOT system that allows target detection and appearance embedding to be learned in a shared model.
Ranked #6 on
Multi-Object Tracking
on MOT16
(using extra training data)
MULTIPLE OBJECT TRACKING MULTI-TASK LEARNING REAL-TIME MULTI-OBJECT TRACKING
Tracking Objects as Points
ECCV 2020
• xingyizhou/CenterTrack
•
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
MULTI-OBJECT TRACKING MULTIPLE OBJECT TRACKING OBJECT DETECTION
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
3D MULTI-OBJECT TRACKING AUTONOMOUS DRIVING MULTIPLE OBJECT TRACKING
Detect-and-Track: Efficient Pose Estimation in Videos
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
HUMAN DETECTION MULTI-OBJECT TRACKING POSE ESTIMATION POSE TRACKING VIDEO UNDERSTANDING
Tracking without bells and whistles
ICCV 2019
• phil-bergmann/tracking_wo_bnw
•
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 #2 on
Online Multi-Object Tracking
on MOT16
LARGE-SCALE PERSON RE-IDENTIFICATION MULTI-OBJECT TRACKING MULTIPLE PEOPLE TRACKING ONLINE MULTI-OBJECT TRACKING
How To Train Your Deep Multi-Object Tracker
CVPR 2020
• yihongXU/deepMOT
•
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
Joint Object Detection and Multi-Object Tracking with Graph Neural Networks
• yongxinw/GSDT
•
Despite the fact that the two components are dependent on each other, prior works often design detection and data association modules separately which are trained with separate objectives.
Ranked #1 on
Multi-Object Tracking
on MOT20