SOTAVerified

Object Tracking

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. State-of-the-art methods involve fusing data from RGB and event-based cameras to produce more reliable object tracking. CNN-based models using only RGB images as input are also effective. The most popular benchmark is OTB. There are several evaluation metrics specific to object tracking, including HOTA, MOTA, IDF1, and Track-mAP.

( Image credit: Towards-Realtime-MOT )

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 801–850 of 1966 papers

TitleStatusHype
Reading Relevant Feature from Global Representation Memory for Visual Object Tracking—0
GDTM: An Indoor Geospatial Tracking Dataset with Distributed Multimodal SensorsCode0
MapTrack: Tracking in the Map—0
OLViT: Multi-Modal State Tracking via Attention-Based Embeddings for Video-Grounded Dialog—0
BronchoTrack: Airway Lumen Tracking for Branch-Level Bronchoscopic Localization—0
Beyond Kalman Filters: Deep Learning-Based Filters for Improved Object TrackingCode0
LDTrack: Dynamic People Tracking by Service Robots using Diffusion Models—0
BioDrone: A Bionic Drone-based Single Object Tracking Benchmark for Robust Vision—0
0-1 laws for pattern occurrences in phylogenetic trees and networks—0
Motion Mapping Cognition: A Nondecomposable Primary Process in Human Vision—0
VR-based generation of photorealistic synthetic data for training hand-object tracking models—0
A comparison of RL-based and PID controllers for 6-DOF swimming robots: hybrid underwater object trackingCode0
AM-SORT: Adaptable Motion Predictor with Historical Trajectory Embedding for Multi-Object Tracking—0
Small Object Tracking in LiDAR Point Cloud: Learning the Target-awareness Prototype and Fine-grained Search Region—0
Towards Category Unification of 3D Single Object Tracking on Point Clouds—0
Learning to Visually Connect Actions and their Effects—0
Machine Learning Based Object Tracking—0
Dense Optical Flow Estimation Using Sparse Regularizers from Reduced Measurements—0
A New Dataset and a Distractor-Aware Architecture for Transparent Object Tracking—0
DiffusionTrack: Point Set Diffusion Model for Visual Object TrackingCode0
DeconfuseTrack: Dealing with Confusion for Multi-Object Tracking—0
Projecting Trackable Thermal Patterns for Dynamic Computer Vision—0
Motion State: A New Benchmark Multiple Object Tracking—0
X Modality Assisting RGBT Object Tracking—0
A Comprehensive Study of Object Tracking in Low-Light Environments—0
Transformer-Based Multi-Object Smoothing with Decoupled Data Association and Smoothing—0
Perception Test 2023: A Summary of the First Challenge And Outcome—0
Transformer Network for Multi-Person Tracking and Re-Identification in Unconstrained Environment—0
Multi-Correlation Siamese Transformer Network with Dense Connection for 3D Single Object TrackingCode0
NTrack: A Multiple-Object Tracker and Dataset for Infield Cotton Boll Counting—0
Emotion Based Prediction in the Context of Optimized Trajectory Planning for Immersive Learning—0
Robust 3D Tracking with Quality-Aware Shape Completion—0
Tracking Skiers from the Top to the BottomCode0
PhyOT: Physics-informed object tracking in surveillance cameras—0
Multi-Scene Generalized Trajectory Global Graph Solver with Composite Nodes for Multiple Object Tracking—0
Learning Differentiable Particle Filter on the FlyCode0
I'M HOI: Inertia-aware Monocular Capture of 3D Human-Object Interactions—0
Mixture of Dynamical Variational Autoencoders for Multi-Source Trajectory Modeling and Separation—0
Markov Chain Monte Carlo Multi-Scan Data Association for Sets of TrajectoriesCode0
Adaptive Confidence Threshold for ByteTrack in Multi-Object TrackingCode0
Zero-Shot Video Question Answering with Procedural Programs—0
Hy-Tracker: A Novel Framework for Enhancing Efficiency and Accuracy of Object Tracking in Hyperspectral Videos—0
TrafficMOT: A Challenging Dataset for Multi-Object Tracking in Complex Traffic Scenarios—0
Multiple Toddler Tracking in Indoor VideosCode0
Beyond Visual Cues: Synchronously Exploring Target-Centric Semantics for Vision-Language Tracking—0
UniHPE: Towards Unified Human Pose Estimation via Contrastive Learning—0
The 2nd Workshop on Maritime Computer Vision (MaCVi) 2024—0
SeaDSC: A video-based unsupervised method for dynamic scene change detection in unmanned surface vehicles—0
Single-Shot and Multi-Shot Feature Learning for Multi-Object Tracking—0
Contrastive Learning for Multi-Object Tracking with TransformersCode0
Show:102550
← PrevPage 17 of 40Next →
All datasetsCOESOTFE108QuadTrackSeaDronesSeeBIRDSAI - ICVGIP 2020KITTIMMPTRACKPerception TestVisEvent

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1HR-CEUTrack-LargeSuccess Rate65—Unverified
2HR-CEUTrack-BaseSuccess Rate63.2—Unverified
3CEUTrack-LargeSuccess Rate62.8—Unverified
4CEUTrack-BaseSuccess Rate62—Unverified
5SiamR-CNNSuccess Rate60.9—Unverified
6TransTSuccess Rate60.5—Unverified
7SuperDiMPSuccess Rate60.2—Unverified
8TrDiMPSuccess Rate60.1—Unverified
9KeepTrackSuccess Rate59.6—Unverified
10AiATrackSuccess Rate59—Unverified
#ModelMetricClaimedVerifiedStatus
1HR-MonTrack-BaseSuccess Rate68.5—Unverified
2HR-MonTrack-TinySuccess Rate66.3—Unverified
3Multi-modalSuccess Rate63.4—Unverified
4PrDiMPSuccess Rate59—Unverified
5DiMPSuccess Rate57.1—Unverified
6MonTrackSuccess Rate54.9—Unverified
7ATOMSuccess Rate46.5—Unverified
8KYSSuccess Rate26.6—Unverified
#ModelMetricClaimedVerifiedStatus
1OmniTrackHOTA23.45—Unverified
2DeepSORTHOTA21.16—Unverified
3OC-SORTHOTA20.83—Unverified
4ByteTrackHOTA20.66—Unverified
5TrackFormerHOTA19.62—Unverified
6HybridSORTHOTA16.64—Unverified
7DiffMOTHOTA16.4—Unverified
8Bot-SORTHOTA15.77—Unverified
#ModelMetricClaimedVerifiedStatus
1DiMP50Success Rate67.33—Unverified
2PrDiMP50Success Rate67—Unverified
3PrDiMP18Success Rate65.9—Unverified
4DiMP18Success Rate64.6—Unverified
5AtomSuccess Rate63.8—Unverified
#ModelMetricClaimedVerifiedStatus
1finalHumans0.14—Unverified
2night_furyHumans0.05—Unverified
3Yolo based methodHumans0.02—Unverified
4finalHumans0—Unverified
#ModelMetricClaimedVerifiedStatus
1M2-Trackmean precision83.4—Unverified
2BATmean precision75.2—Unverified
#ModelMetricClaimedVerifiedStatus
1UMMT3DMOTA95—Unverified
2MMPTRACK3DMOTA94.8—Unverified
#ModelMetricClaimedVerifiedStatus
1Siam-FCAverage IOU0.66—Unverified
#ModelMetricClaimedVerifiedStatus
1RT-MDNetPrecision Plot0.63—Unverified