Browse > Computer Vision > Object Tracking > Multi-Object Tracking

Multi-Object Tracking

16 papers with code · Computer Vision
Subtask of Object Tracking

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Detect-and-Track: Efficient Pose Estimation in Videos

CVPR 2018 facebookresearch/DetectAndTrack

This paper addresses the problem of estimating and tracking human body keypoints in complex, multi-person video.

#4 best model for Pose Tracking on PoseTrack2017 (using extra training data)

HUMAN DETECTION MULTI-OBJECT TRACKING POSE ESTIMATION POSE TRACKING VIDEO UNDERSTANDING

A Baseline for 3D Multi-Object Tracking

9 Jul 2019xinshuoweng/AB3DMOT

Although our baseline system is a straightforward combination of standard methods, we obtain the state-of-the-art results.

3D MULTI-OBJECT TRACKING AUTONOMOUS DRIVING

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

Exploit the Connectivity: Multi-Object Tracking with TrackletNet

18 Nov 2018zhengthomastang/2018AICity_TeamUW

Multi-object tracking (MOT) is an important and practical task related to both surveillance systems and moving camera applications, such as autonomous driving and robotic vision.

AUTONOMOUS DRIVING MULTI-OBJECT TRACKING

Tracking without bells and whistles

13 Mar 2019phil-bergmann/tracking_wo_bnw

We then perform an analysis on the performance and failure cases of several state-of-the-art tracking methods in comparison to our Tracktor.

MOTION COMPENSATION MULTI-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

Beyond Pixels: Leveraging Geometry and Shape Cues for Online Multi-Object Tracking

26 Feb 2018JunaidCS032/MOTBeyondPixels

This paper introduces geometry and object shape and pose costs for multi-object tracking in urban driving scenarios.

MULTI-OBJECT TRACKING ONLINE MULTI-OBJECT TRACKING

Tracking by Animation: Unsupervised Learning of Multi-Object Attentive Trackers

CVPR 2019 zhen-he/tracking-by-animation

To achieve both label-free and end-to-end learning of MOT, we propose a Tracking-by-Animation framework, where a differentiable neural model first tracks objects from input frames and then animates these objects into reconstructed frames.

MULTI-OBJECT TRACKING ONLINE MULTI-OBJECT TRACKING

Tracking by Animation: Unsupervised Learning of Multi-Object Attentive Trackers

CVPR 2019 zhen-he/tracking-by-animation

To achieve both label-free and end-to-end learning of MOT, we propose a Tracking-by-Animation framework, where a differentiable neural model first tracks objects from input frames and then animates these objects into reconstructed frames.

MULTI-OBJECT TRACKING ONLINE MULTI-OBJECT TRACKING