Multi-Object Tracking

197 papers with code • 19 benchmarks • 36 datasets

Multi-Object Tracking is a task in computer vision that involves detecting and tracking multiple objects within a video sequence. The goal is to identify and locate objects of interest in each frame and then associate them across frames to keep track of their movements over time. This task is challenging due to factors such as occlusion, motion blur, and changes in object appearance, and is typically solved using algorithms that integrate object detection and data association techniques.

Libraries

Use these libraries to find Multi-Object Tracking models and implementations

Multiple Object Tracking as ID Prediction

MCG-NJU/MOTIP 25 Mar 2024

In Multiple Object Tracking (MOT), tracking-by-detection methods have stood the test for a long time, which split the process into two parts according to the definition: object detection and association.

4
25 Mar 2024

Fast-Poly: A Fast Polyhedral Framework For 3D Multi-Object Tracking

lixiaoyu2000/fastpoly 20 Mar 2024

3D Multi-Object Tracking (MOT) captures stable and comprehensive motion states of surrounding obstacles, essential for robotic perception.

18
20 Mar 2024

Lifting Multi-View Detection and Tracking to the Bird's Eye View

tteepe/tracktacular 19 Mar 2024

Taking advantage of multi-view aggregation presents a promising solution to tackle challenges such as occlusion and missed detection in multi-object tracking and detection.

8
19 Mar 2024

Delving into the Trajectory Long-tail Distribution for Muti-object Tracking

chen-si-jia/Trajectory-Long-tail-Distribution-for-MOT 7 Mar 2024

In this study, we pioneer an exploration into the distribution patterns of tracking data and identify a pronounced long-tail distribution issue within existing MOT datasets.

13
07 Mar 2024

EchoTrack: Auditory Referring Multi-Object Tracking for Autonomous Driving

lab206/echotrack 28 Feb 2024

This paper introduces the task of Auditory Referring Multi-Object Tracking (AR-MOT), which dynamically tracks specific objects in a video sequence based on audio expressions and appears as a challenging problem in autonomous driving.

2
28 Feb 2024

GBOT: Graph-Based 3D Object Tracking for Augmented Reality-Assisted Assembly Guidance

roth-hex-lab/gbot 12 Feb 2024

Augmented reality assembly guidance requires 6D object poses of target objects in real time.

3
12 Feb 2024

iKUN: Speak to Trackers without Retraining

dyhbupt/ikun 25 Dec 2023

Referring multi-object tracking (RMOT) aims to track multiple objects based on input textual descriptions.

43
25 Dec 2023

General Object Foundation Model for Images and Videos at Scale

FoundationVision/GLEE 14 Dec 2023

We present GLEE in this work, an object-level foundation model for locating and identifying objects in images and videos.

539
14 Dec 2023

UCMCTrack: Multi-Object Tracking with Uniform Camera Motion Compensation

corfyi/ucmctrack 14 Dec 2023

In response to this, we introduce UCMCTrack, a novel motion model-based tracker robust to camera movements.

190
14 Dec 2023

Adaptive Confidence Threshold for ByteTrack in Multi-Object Tracking

linh-gist/AdaptConfByteTrack 4 Dec 2023

ByteTrack, a simple tracking algorithm, enables the simultaneous tracking of multiple objects by strategically incorporating detections with a low confidence threshold.

3
04 Dec 2023