Browse SoTA > Computer Vision > Video > Object Tracking

Object Tracking

130 papers with code · Computer Vision
Subtask of Video

Object tracking is the task of taking an initial set of object detections, creating a unique ID for each of the initial detections, and then tracking each of the objects as they move around frames in a video, maintaining the ID assignment.

( Image credit: Towards-Realtime-MOT )

Benchmarks

You can find evaluation results in the subtasks. You can also submitting evaluation metrics for this task.

Greatest papers with code

Unsupervised learning of object structure and dynamics from videos

NeurIPS 2019 google-research/google-research

Extracting and predicting object structure and dynamics from videos without supervision is a major challenge in machine learning.

ACTION RECOGNITION CONTINUOUS CONTROL OBJECT TRACKING VIDEO PREDICTION

Fast Online Object Tracking and Segmentation: A Unifying Approach

CVPR 2019 foolwood/SiamMask

In this paper we illustrate how to perform both visual object tracking and semi-supervised video object segmentation, in real-time, with a single simple approach.

REAL-TIME VISUAL TRACKING SEMI-SUPERVISED SEMANTIC SEGMENTATION SEMI-SUPERVISED VIDEO OBJECT SEGMENTATION VISUAL OBJECT TRACKING

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

A Simple Baseline for Multi-Object Tracking

4 Apr 2020ifzhang/FairMOT

There has been remarkable progress on object detection and re-identification in recent years which are the core components for multi-object tracking.

 Ranked #1 on Multi-Object Tracking on MOT20 (using extra training data)

MULTI-OBJECT TRACKING OBJECT DETECTION

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.

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

MULTI-OBJECT TRACKING MULTIPLE OBJECT TRACKING MULTI-TASK LEARNING

Distractor-aware Siamese Networks for Visual Object Tracking

ECCV 2018 foolwood/DaSiamRPN

During the off-line training phase, an effective sampling strategy is introduced to control this distribution and make the model focus on the semantic distractors.

INCREMENTAL LEARNING VISUAL OBJECT TRACKING VISUAL TRACKING

High Performance Visual Tracking With Siamese Region Proposal Network

CVPR 2018 foolwood/DaSiamRPN

Visual object tracking has been a fundamental topic in recent years and many deep learning based trackers have achieved state-of-the-art performance on multiple benchmarks.

REGION PROPOSAL VISUAL OBJECT TRACKING VISUAL TRACKING

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.

Ranked #5 on Pose Tracking on PoseTrack2017 (using extra training data)

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

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