Multi-Object Tracking
Leaderboards
| TREND | DATASET | BEST METHOD | PAPER TITLE | PAPER | CODE | COMPARE |
|---|---|---|---|---|---|---|
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Greatest papers with code
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.
#5 best model for
Pose Tracking
on PoseTrack2017
(using extra training data)
HUMAN DETECTION MULTI-OBJECT TRACKING POSE ESTIMATION POSE TRACKING VIDEO UNDERSTANDING
Towards Real-Time Multi-Object Tracking
• 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.
SOTA for Multi-Object Tracking on MOT16 (using extra training data)
MULTI-OBJECT TRACKING MULTIPLE OBJECT TRACKING MULTI-TASK LEARNING
A Baseline for 3D Multi-Object Tracking
Although our baseline system is a straightforward combination of standard methods, we obtain the state-of-the-art results.
SOTA for 3D Multi-Object Tracking on KITTI
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.
LARGE-SCALE PERSON RE-IDENTIFICATION MULTI-OBJECT TRACKING MULTIPLE PEOPLE TRACKING ONLINE MULTI-OBJECT TRACKING
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.
MOTS: Multi-Object Tracking and Segmentation
IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2019 2019
• VisualComputingInstitute/TrackR-CNN
• 
This paper extends the popular task of multi-object tracking to multi-object tracking and segmentation (MOTS).
How To Train Your Deep Multi-Object Tracker
• 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.
MOT16: A Benchmark for Multi-Object Tracking
• yihongXU/deepMOT
•
Recently, a new benchmark for Multiple Object Tracking, MOTChallenge, was launched with the goal of collecting existing and new data and creating a framework for the standardized evaluation of multiple object tracking methods.
MULTI-OBJECT TRACKING MULTIPLE OBJECT TRACKING MULTIPLE PEOPLE TRACKING
Exploit the Connectivity: Multi-Object Tracking with TrackletNet
Multi-object tracking (MOT) is an important and practical task related to both surveillance systems and moving camera applications, such as autonomous driving and robotic vision.
Beyond Pixels: Leveraging Geometry and Shape Cues for Online Multi-Object Tracking
This paper introduces geometry and object shape and pose costs for multi-object tracking in urban driving scenarios.