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Online Multi-Object Tracking

11 papers with code · Computer Vision
Subtask of Object Tracking

The goal of Online Multi-Object Tracking is to estimate the spatio-temporal trajectories of multiple objects in an online video stream (i.e., the video is provided frame-by-frame), which is a fundamental problem for numerous real-time applications, such as video surveillance, autonomous driving, and robot navigation.

Source: A Hybrid Data Association Framework for Robust Online Multi-Object Tracking

Benchmarks

Greatest papers with code

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

PointTrack++ for Effective Online Multi-Object Tracking and Segmentation

3 Jul 2020detectRecog/PointTrack

In this work, we present PointTrack++, an effective on-line framework for MOTS, which remarkably extends our recently proposed PointTrack framework.

DATA AUGMENTATION INSTANCE SEGMENTATION MULTI-OBJECT TRACKING MULTIPLE OBJECT TRACKING ONLINE MULTI-OBJECT TRACKING SEMANTIC SEGMENTATION

Segment as Points for Efficient Online Multi-Object Tracking and Segmentation

ECCV 2020 detectRecog/PointTrack

The resulting online MOTS framework, named PointTrack, surpasses all the state-of-the-art methods including 3D tracking methods by large margins (5. 4% higher MOTSA and 18 times faster over MOTSFusion) with the near real-time speed (22 FPS).

MULTI-OBJECT TRACKING ONLINE MULTI-OBJECT 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

Online Multi-Object Tracking with Dual Matching Attention Networks

ECCV 2018 jizhu1023/DMAN_MOT

In this paper, we propose an online Multi-Object Tracking (MOT) approach which integrates the merits of single object tracking and data association methods in a unified framework to handle noisy detections and frequent interactions between targets.

MULTI-OBJECT TRACKING ONLINE MULTI-OBJECT TRACKING

A Unified Object Motion and Affinity Model for Online Multi-Object Tracking

CVPR 2020 yinjunbo/UMA-MOT

In this paper, we propose a novel MOT framework that unifies object motion and affinity model into a single network, named UMA, in order to learn a compact feature that is discriminative for both object motion and affinity measure.

METRIC LEARNING MULTI-OBJECT TRACKING MULTI-TASK LEARNING ONLINE MULTI-OBJECT TRACKING

Online Multi-Object Tracking Framework with the GMPHD Filter and Occlusion Group Management

31 Jul 2019SonginCV/GMPHD-OGM

In this paper, we propose an efficient online multi-object tracking framework based on the GMPHD filter and occlusion group management scheme where the GMPHD filter utilizes hierarchical data association to reduce the false negatives caused by miss detection.

MULTI-OBJECT TRACKING ONLINE MULTI-OBJECT TRACKING

GCNNMatch: Graph Convolutional Neural Networks for Multi-Object Tracking via Sinkhorn Normalization

30 Sep 2020IPapakis/GCNNMatch

This new paradigm enables the network to leverage the "context" information of the geometry of objects and allows us to model the interactions among the features of multiple objects.

MULTI-OBJECT TRACKING ONLINE MULTI-OBJECT TRACKING