Multiple Object Tracking

57 papers with code • 4 benchmarks • 10 datasets

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

Greatest papers with code

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

PaddlePaddle/PaddleDetection 4 Apr 2020

Formulating MOT as multi-task learning of object detection and re-ID in a single network is appealing since it allows joint optimization of the two tasks and enjoys high computation efficiency.

 Ranked #1 on Multi-Object Tracking on 2DMOT15 (using extra training data)

Fairness Multi-Object Tracking +3

MOT20: A benchmark for multi object tracking in crowded scenes

PaddlePaddle/PaddleDetection 19 Mar 2020

The benchmark for Multiple Object Tracking, MOTChallenge, was launched with the goal to establish a standardized evaluation of multiple object tracking methods.

Multi-Object Tracking Multiple Object Tracking +1

Towards Real-Time Multi-Object Tracking

PaddlePaddle/PaddleDetection 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)

Multiple Object Tracking Multi-Task Learning +1

Simple Online and Realtime Tracking with a Deep Association Metric

PaddlePaddle/PaddleDetection 21 Mar 2017

Simple Online and Realtime Tracking (SORT) is a pragmatic approach to multiple object tracking with a focus on simple, effective algorithms.

Large-Scale Person Re-Identification Multiple Object Tracking +1

MOT16: A Benchmark for Multi-Object Tracking

PaddlePaddle/PaddleDetection 2 Mar 2016

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 +1

Simple Online and Realtime Tracking

abewley/sort 2 Feb 2016

This paper explores a pragmatic approach to multiple object tracking where the main focus is to associate objects efficiently for online and realtime applications.

Multiple Object Tracking

Tracking Objects as Points

xingyizhou/CenterTrack ECCV 2020

Nowadays, tracking is dominated by pipelines that perform object detection followed by temporal association, also known as tracking-by-detection.

Multi-Object Tracking Multiple Object Tracking +1

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

xinshuoweng/AB3DMOT 9 Jul 2019

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 +1

Joint Monocular 3D Vehicle Detection and Tracking

ucbdrive/3d-vehicle-tracking ICCV 2019

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.

3D Object Detection 3D Pose Estimation +4