Browse SoTA > Computer Vision > Object Tracking > Multi-Object Tracking

Multi-Object Tracking

40 papers with code · Computer Vision
Subtask of Object Tracking

Benchmarks

Greatest papers with code

FairMOT: On the Fairness of Detection and Re-Identification in Multiple Object Tracking

4 Apr 2020ifzhang/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 #2 on Multi-Object Tracking on MOT16 (using extra training data)

MULTI-OBJECT TRACKING MULTIPLE OBJECT TRACKING MULTI-TASK LEARNING

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.

MULTI-OBJECT TRACKING OBJECT DETECTION

Detect-and-Track: Efficient Pose Estimation in Videos

CVPR 2018 facebookresearch/DetectAndTrack

This paper addresses the problem of estimating and tracking human body keypoints in complex, multi-person video.

Ranked #5 on Pose Tracking on PoseTrack2017 (using extra training data)

HUMAN DETECTION MULTI-OBJECT TRACKING POSE ESTIMATION POSE TRACKING VIDEO UNDERSTANDING

3D Multi-Object Tracking: A Baseline and New Evaluation Metrics

9 Jul 2019xinshuoweng/AB3DMOT

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.

3D MULTI-OBJECT TRACKING AUTONOMOUS DRIVING

Tracking without bells and whistles

ICCV 2019 phil-bergmann/tracking_wo_bnw

We then perform an analysis on the performance and failure cases of several state-of-the-art tracking methods in comparison to our Tracktor.

MOTION COMPENSATION MOTION PREDICTION 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.

MULTI-OBJECT TRACKING MULTIPLE OBJECT TRACKING

Vision Meets Drones: Past, Present and Future

16 Jan 2020VisDrone/VisDrone-Dataset

We provide a large-scale drone captured dataset, VisDrone, which includes four tracks, i. e., (1) image object detection, (2) video object detection, (3) single object tracking, and (4) multi-object tracking.

MULTI-OBJECT TRACKING VIDEO OBJECT DETECTION