Multiple Object Tracking

86 papers with code • 6 benchmarks • 14 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

Libraries

Use these libraries to find Multiple Object Tracking models and implementations

Most implemented papers

Simple Online and Realtime Tracking with a Deep Association Metric

nwojke/deep_sort 21 Mar 2017

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

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.

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

ifzhang/FairMOT 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.

Towards Real-Time Multi-Object Tracking

Zhongdao/Towards-Realtime-MOT ECCV 2020

In this paper, we propose an MOT system that allows target detection and appearance embedding to be learned in a shared model.

ByteTrack: Multi-Object Tracking by Associating Every Detection Box

ifzhang/ByteTrack arXiv 2021

ByteTrack also achieves state-of-the-art performance on MOT20, HiEve and BDD100K tracking benchmarks.

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.

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.

Observation-Centric SORT: Rethinking SORT for Robust Multi-Object Tracking

noahcao/OC_SORT 27 Mar 2022

Multi-Object Tracking (MOT) has rapidly progressed with the development of object detection and re-identification.

Lucid Data Dreaming for Video Object Segmentation

omkar13/MaskTrack 28 Mar 2017

Our approach is suitable for both single and multiple object segmentation.

SoccerNet 2022 Challenges Results

soccernet/sn-calibration 5 Oct 2022

The SoccerNet 2022 challenges were the second annual video understanding challenges organized by the SoccerNet team.