Multiple Object Tracking Edit Task
Computer Vision • Video
About
Multiple Object Tracking is the problem of automatically identifying multiple objects in a video and representing them as a set of trajectories with high accuracy.
Source: SOT for MOT
Benchmarks
| TREND | DATASET | BEST METHOD | PAPER TITLE | PAPER | CODE | COMPARE |
|---|---|---|---|---|---|---|
|
Datasets
Greatest papers with code
Simple Online and Realtime Tracking with a Deep Association Metric
• nwojke/deep_sort
• 
Simple Online and Realtime Tracking (SORT) is a pragmatic approach to multiple object tracking with a focus on simple, effective algorithms.
Ranked #10 on
Video Instance Segmentation
on YouTube-VIS validation
LARGE-SCALE PERSON RE-IDENTIFICATION MULTIPLE OBJECT TRACKING VIDEO INSTANCE SEGMENTATION
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
Simple Online and Realtime Tracking
• abewley/sort
•
This paper explores a pragmatic approach to multiple object tracking where the main focus is to associate objects efficiently for online and realtime applications.
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 #5 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
Joint Monocular 3D Vehicle Detection and Tracking
ICCV 2019
• ucbdrive/3d-vehicle-tracking
•
The framework can not only associate detections of vehicles in motion over time, but also estimate their complete 3D bounding box information from a sequence of 2D images captured on a moving platform.
Ranked #8 on
Multiple Object Tracking
on KITTI Tracking test
3D OBJECT DETECTION 3D POSE ESTIMATION AUTONOMOUS VEHICLES MULTIPLE OBJECT TRACKING ONLINE MULTI-OBJECT TRACKING TRAJECTORY PREDICTION
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
Deep Affinity Network for Multiple Object Tracking
• shijieS/SST
•
In this paper, we harness the power of deep learning for data association in tracking by jointly modelling object appearances and their affinities between different frames in an end-to-end fashion.
TransTrack: Multiple-Object Tracking with Transformer
Query-key mechanism in single-object tracking(SOT), which tracks the object of the current frame by object feature of the previous frame, has great potential to set up a simple joint-detection-and-tracking MOT paradigm.