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

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Showing 851–900 of 1966 papers

TitleStatusHype
Evaluating the Significance of Outdoor Advertising from Driver's Perspective Using Computer VisionCode0
ReIDTracker Sea: the technical report of BoaTrack and SeaDronesSee-MOT challenge at MaCVi of WACV24—0
Sea You Later: Metadata-Guided Long-Term Re-Identification for UAV-Based Multi-Object Tracking—0
An Approach for Multi-Object Tracking with Two-Stage Min-Cost Flow—0
Multiple Object Tracking based on Occlusion-Aware Embedding Consistency Learning—0
ISAR: A Benchmark for Single- and Few-Shot Object Instance Segmentation and Re-Identification—0
Fast Point Cloud to Mesh Reconstruction for Deformable Object Tracking—0
CML-MOTS: Collaborative Multi-task Learning for Multi-Object Tracking and Segmentation—0
CenterRadarNet: Joint 3D Object Detection and Tracking Framework using 4D FMCW Radar—0
AViTMP: A Tracking-Specific Transformer for Single-Branch Visual TrackingCode0
CARPE-ID: Continuously Adaptable Re-identification for Personalized Robot Assistance—0
Siamese-DETR for Generic Multi-Object TrackingCode0
DecoderTracker: Decoder-Only Method for Multiple-Object Tracking—0
Label Space Partition Selection for Multi-Object Tracking Using Two-Layer Partitioning—0
Distractor-aware Event-based Tracking—0
Deep MDP: A Modular Framework for Multi-Object TrackingCode0
Deep Learning Techniques for Video Instance Segmentation: A Survey—0
Staged Depthwise Correlation and Feature Fusion for Siamese Object Tracking—0
Zero-Shot Open-Vocabulary Tracking with Large Pre-Trained Models—0
QR-Tag: Angular Measurement and Tracking with a QR-Design Marker—0
Multi-Ship Tracking by Robust Similarity metric—0
Real-time Multi-modal Object Detection and Tracking on Edge for Regulatory Compliance Monitoring—0
ShaSTA-Fuse: Camera-LiDAR Sensor Fusion to Model Shape and Spatio-Temporal Affinities for 3D Multi-Object Tracking—0
COOLer: Class-Incremental Learning for Appearance-Based Multiple Object TrackingCode0
Walking = Traversable? : Traversability Prediction via Multiple Human Object Tracking under Occlusion—0
SpikeMOT: Event-based Multi-Object Tracking with Sparse Motion Features—0
UniQuadric: A SLAM Backend for Unknown Rigid Object 3D Tracking and Light-Weight Modeling—0
3D Multiple Object Tracking on Autonomous Driving: A Literature Review—0
Physics-Based Rigid Body Object Tracking and Friction Filtering From RGB-D Videos—0
RTrack: Accelerating Convergence for Visual Object Tracking via Pseudo-Boxes Exploration—0
BASE: Probably a Better Approach to Multi-Object Tracking—0
Forensic Video Analytic Software—0
Unsupervised Green Object Tracker (GOT) without Offline Pre-training—0
Leveraging the Power of Data Augmentation for Transformer-based Tracking—0
Tracking Particles Ejected From Active Asteroid Bennu With Event-Based Vision—0
Transparent Object Tracking with Enhanced Fusion ModuleCode0
Mobile Object Tracking in Panoramic Video and LiDAR for Radiological Source-Object Attribution and Improved Source Detection—0
DeNoising-MOT: Towards Multiple Object Tracking with Severe Occlusions—0
Towards Efficient Training with Negative Samples in Visual Tracking—0
Robust Visual Tracking by Motion Analyzing—0
Efficient Training for Visual Tracking with Deformable Transformer—0
UnsMOT: Unified Framework for Unsupervised Multi-Object Tracking with Geometric Topology Guidance—0
Consensus-based Distributed Variational Multi-object Tracker in Multi-Sensor Network—0
Occlusion-Aware Detection and Re-ID Calibrated Network for Multi-Object Tracking—0
The Interstate-24 3D Dataset: a new benchmark for 3D multi-camera vehicle tracking—0
End-to-end Autonomous Driving using Deep Learning: A Systematic Review—0
Distributed Extended Object Tracking Using Coupled Velocity Model from WLS Perspective—0
Synchronize Feature Extracting and Matching: A Single Branch Framework for 3D Object Tracking—0
Segment Anything for Microscopy—0
TrackFlow: Multi-Object Tracking with Normalizing Flows—0
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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