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Multiple Object Tracking

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

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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

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

27 Sep 2019Zhongdao/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 REGRESSION

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

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

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

DeepMOT: A Differentiable Framework for Training Multiple Object Trackers

15 Jun 2019yihongXU/deepMOT

To directly optimize a tracker based on MOTA and MOTP is difficult, since both the metrics are strongly rely on the Hungarian algorithm, which are non-differentiable.

MULTIPLE OBJECT TRACKING

MOT16: A Benchmark for Multi-Object Tracking

2 Mar 2016yihongXU/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

Graph Neural Based End-to-end Data Association Framework for Online Multiple-Object Tracking

11 Jul 2019peizhaoli05/EDA_GNN

In this work, we present an end-to-end framework to settle data association in online Multiple-Object Tracking (MOT).

MULTIPLE OBJECT TRACKING