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Multiple Object Tracking

25 papers with code · Computer Vision
Subtask of Video · Object Tracking

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

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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

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 #2 on Multi-Object Tracking on MOT16 (using extra training data)

MULTI-OBJECT TRACKING MULTIPLE OBJECT TRACKING MULTI-TASK LEARNING

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

Real-Time Multiple Object Tracking - A Study on the Importance of Speed

11 Sep 2017samuelmurray/tracking-by-detection

In this project, we implement a multiple object tracker, following the tracking-by-detection paradigm, as an extension of an existing method.

MULTIPLE OBJECT TRACKING

Joint Graph Decomposition and Node Labeling: Problem, Algorithms, Applications

14 Nov 2016bjoern-andres/graph

In order to find feasible solutions efficiently, we define two local search algorithms that converge monotonously to a local optimum, offering a feasible solution at any time.

COMBINATORIAL OPTIMIZATION MULTIPLE OBJECT TRACKING POSE ESTIMATION SEMANTIC SEGMENTATION

PointTrack++ for Effective Online Multi-Object Tracking and Segmentation

3 Jul 2020detectRecog/PointTrack

In this work, we present PointTrack++, an effective on-line framework for MOTS, which remarkably extends our recently proposed PointTrack framework.

DATA AUGMENTATION INSTANCE SEGMENTATION MULTI-OBJECT TRACKING MULTIPLE OBJECT TRACKING ONLINE MULTI-OBJECT TRACKING SEMANTIC SEGMENTATION