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Multiple Object Tracking

14 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

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 Monocular 3D Vehicle Detection and Tracking

26 Nov 2018ucbdrive/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

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

Multiple Object Tracking with Kernelized Correlation Filters in Urban Mixed Traffic

8 Nov 2016iyybpatrick/MKCF

In this paper, we investigate how a robust visual tracker like KCF can improve multiple object tracking.

MULTIPLE OBJECT TRACKING VISUAL OBJECT 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).

GRAPH NEURAL NETWORK MULTIPLE OBJECT TRACKING