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

21 Mar 2017nwojke/deep_sort

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 VIDEO INSTANCE SEGMENTATION

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

Simple Online and Realtime Tracking

2 Feb 2016abewley/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.

MULTIPLE OBJECT TRACKING

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.

MULTI-OBJECT TRACKING MULTIPLE OBJECT TRACKING OBJECT DETECTION

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 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.

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.

MULTI-OBJECT TRACKING MULTIPLE OBJECT TRACKING

Deep Affinity Network for Multiple Object Tracking

28 Oct 2018shijieS/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.

MULTIPLE OBJECT TRACKING OBJECT DETECTION

TransTrack: Multiple-Object Tracking with Transformer

31 Dec 2020PeizeSun/TransTrack

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.

MULTIPLE OBJECT TRACKING OBJECT DETECTION