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 1751–1800 of 1966 papers

TitleStatusHype
AViTMP: A Tracking-Specific Transformer for Single-Branch Visual TrackingCode0
Tracking Different Ant Species: An Unsupervised Domain Adaptation Framework and a Dataset for Multi-object TrackingCode0
Event-based Visual Tracking in Dynamic EnvironmentsCode0
3D Multi-Object Tracking Employing MS-GLMB Filter for Autonomous DrivingCode0
COOLer: Class-Incremental Learning for Appearance-Based Multiple Object TrackingCode0
Multi Target Tracking by Learning from Generalized Graph DifferencesCode0
SST-EM: Advanced Metrics for Evaluating Semantic, Spatial and Temporal Aspects in Video EditingCode0
Benchmarking YOLOv5 and YOLOv7 models with DeepSORT for droplet tracking applicationsCode0
Event-based attention and tracking on neuromorphic hardwareCode0
Contrastive Learning for Multi-Object Tracking with TransformersCode0
Multiple Toddler Tracking in Indoor VideosCode0
Multiple Object Tracking with Kernelized Correlation Filters in Urban Mixed TrafficCode0
Multiple Object Trackers in OpenCV: A BenchmarkCode0
Automated Retail Billing: Streamlining Checkout with QR Codes and Object Tracking Using YOLOv8 and DeepSORTCode0
Evaluating the Significance of Outdoor Advertising from Driver's Perspective Using Computer VisionCode0
A Deep Learning Bidirectional Temporal Tracking Algorithm for Automated Blood Cell Counting from Non-invasive Capillaroscopy VideosCode0
A Framework for Evaluating 6-DOF Object TrackersCode0
Adversarial Attack for RGB-Event based Visual Object TrackingCode0
EOTNet: Deep Memory Aided Bayesian Filter for Extended Object TrackingCode0
Multiple Hypothesis Hypergraph Tracking for Posture Identification in Embryonic Caenorhabditis elegansCode0
Reliable Object Tracking by Multimodal Hybrid Feature Extraction and Transformer-Based FusionCode0
TrackingNet: A Large-Scale Dataset and Benchmark for Object Tracking in the WildCode0
Representation Alignment Contrastive Regularization for Multi-Object TrackingCode0
Multiple Convolutional Features in Siamese Networks for Object TrackingCode0
Reproducibility Study on Adversarial Attacks Against Robust Transformer TrackersCode0
Adaptive Correlation Filters with Long-Term and Short-Term Memory for Object TrackingCode0
Multiple Context Features in Siamese Networks for Visual Object TrackingCode0
Multi-object Tracking: Decoupling Features to Solve the Contradictory Dilemma of Feature RequirementsCode0
EnKCF: Ensemble of Kernelized Correlation Filters for High-Speed Object TrackingCode0
Multi-hierarchical Independent Correlation Filters for Visual TrackingCode0
Multi-Correlation Siamese Transformer Network with Dense Connection for 3D Single Object TrackingCode0
Rethinking Vision Transformer for Object Centric Foundation ModelsCode0
Motion-Guided Dual-Camera Tracker for Endoscope Tracking and Motion Analysis in a Mechanical Gastric SimulatorCode0
Underwater Object Tracker: UOSTrack for Marine Organism Grasping of Underwater VehiclesCode0
MOTChallenge 2015: Towards a Benchmark for Multi-Target TrackingCode0
Revisiting the details when evaluating a visual trackerCode0
Enhancing Thermal MOT: A Novel Box Association Method Leveraging Thermal Identity and Motion SimilarityCode0
ReynoldsFlow: Exquisite Flow Estimation via Reynolds Transport TheoremCode0
Mono3DVLT: Monocular-Video-Based 3D Visual Language TrackingCode0
Contextualized Spatio-Temporal Contrastive Learning with Self-SupervisionCode0
MobiFace: A Novel Dataset for Mobile Face Tracking in the WildCode0
Markov Chain Monte Carlo Multi-Scan Data Association for Sets of TrajectoriesCode0
A Modular Pipeline for 3D Object Tracking Using RGB CamerasCode0
Map3D: Registration Based Multi-Object Tracking on 3D Serial Whole Slide ImagesCode0
TransCAB: Transferable Clean-Annotation Backdoor to Object Detection with Natural Trigger in Real-WorldCode0
Risk-Aware Robot Control in Dynamic Environments Using Belief Control Barrier FunctionsCode0
A Low-Computational Video Synopsis Framework with a Standard DatasetCode0
RobMOT: Robust 3D Multi-Object Tracking by Observational Noise and State Estimation Drift Mitigation on LiDAR PointCloudCode0
Lucid Data Dreaming for Video Object SegmentationCode0
UASTrack: A Unified Adaptive Selection Framework with Modality-Customization in Single Object TrackingCode0
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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