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

Showing 451500 of 1966 papers

TitleStatusHype
Self-supervised Object Tracking with Cycle-consistent Siamese NetworksCode1
LSOTB-TIR:A Large-Scale High-Diversity Thermal Infrared Object Tracking BenchmarkCode1
SeCo: Exploring Sequence Supervision for Unsupervised Representation LearningCode1
Multi-object Tracking with an Adaptive Generalized Labeled Multi-Bernoulli FilterCode1
Towards Robust Visual Tracking for Unmanned Aerial Vehicle with Tri-Attentional Correlation FiltersCode1
Dynamic Object Tracking and Masking for Visual SLAMCode1
Chained-Tracker: Chaining Paired Attentive Regression Results for End-to-End Joint Multiple-Object Detection and TrackingCode1
Scale Equivariance Improves Siamese TrackingCode1
Tracking-by-Trackers with a Distilled and Reinforced ModelCode1
Segment as Points for Efficient Online Multi-Object Tracking and SegmentationCode1
PointTrack++ for Effective Online Multi-Object Tracking and SegmentationCode1
Lifted Disjoint Paths with Application in Multiple Object TrackingCode1
Joint Object Detection and Multi-Object Tracking with Graph Neural NetworksCode1
Benchmarking Unsupervised Object Representations for Video SequencesCode1
GNN3DMOT: Graph Neural Network for 3D Multi-Object Tracking with Multi-Feature LearningCode1
Quasi-Dense Similarity Learning for Multiple Object TrackingCode1
TubeTK: Adopting Tubes to Track Multi-Object in a One-Step Training ModelCode1
RGB-D-E: Event Camera Calibration for Fast 6-DOF Object TrackingCode1
Siamese Keypoint Prediction Network for Visual Object TrackingCode1
Learning a Neural Solver for Multiple Object TrackingCode1
GNN3DMOT: Graph Neural Network for 3D Multi-Object Tracking With 2D-3D Multi-Feature LearningCode1
P2B: Point-to-Box Network for 3D Object Tracking in Point CloudsCode1
TSDM: Tracking by SiamRPN++ with a Depth-refiner and a Mask-generatorCode1
DroTrack: High-speed Drone-based Object Tracking Under UncertaintyCode1
Fast Template Matching and Update for Video Object Tracking and SegmentationCode1
Deformable Siamese Attention Networks for Visual Object TrackingCode1
End-to-end Learning Improves Static Object Geo-localization in Monocular VideoCode1
FairMOT: On the Fairness of Detection and Re-Identification in Multiple Object TrackingCode1
RetinaTrack: Online Single Stage Joint Detection and TrackingCode1
A Unified Object Motion and Affinity Model for Online Multi-Object TrackingCode1
Multi-Drone based Single Object Tracking with Agent Sharing NetworkCode1
MPM: Joint Representation of Motion and Position Map for Cell TrackingCode1
JRMOT: A Real-Time 3D Multi-Object Tracker and a New Large-Scale DatasetCode1
Probabilistic 3D Multi-Object Tracking for Autonomous DrivingCode1
BSUV-Net: A Fully-Convolutional Neural Network forBackground Subtraction of Unseen VideosCode1
Fooling Detection Alone is Not Enough: Adversarial Attack against Multiple Object TrackingCode1
PAC Confidence Sets for Deep Neural Networks via Calibrated PredictionCode1
Learning a Neural Solver for Multiple Object TrackingCode1
LiDARTag: A Real-Time Fiducial Tag System for Point CloudsCode1
Online Multi-Object Tracking Framework with the GMPHD Filter and Occlusion Group ManagementCode1
BSUV-Net: A Fully-Convolutional Neural Network for Background Subtraction of Unseen VideosCode1
Fooling Detection Alone is Not Enough: First Adversarial Attack against Multiple Object TrackingCode1
WPU-Net: Boundary Learning by Using Weighted Propagation in Convolution NetworkCode1
Tracking without bells and whistlesCode1
LaSOT: A High-quality Benchmark for Large-scale Single Object TrackingCode1
Deep Convolutional Neural Networks for Thermal Infrared Object TrackingCode1
Simple Online and Realtime Tracking with a Deep Association MetricCode1
Fully-Convolutional Siamese Networks for Object TrackingCode1
MOT16: A Benchmark for Multi-Object TrackingCode1
MVA 2025 Small Multi-Object Tracking for Spotting Birds Challenge: Dataset, Methods, and Results0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1HR-CEUTrack-LargeSuccess Rate65Unverified
2HR-CEUTrack-BaseSuccess Rate63.2Unverified
3CEUTrack-LargeSuccess Rate62.8Unverified
4CEUTrack-BaseSuccess Rate62Unverified
5SiamR-CNNSuccess Rate60.9Unverified
6TransTSuccess Rate60.5Unverified
7SuperDiMPSuccess Rate60.2Unverified
8TrDiMPSuccess Rate60.1Unverified
9KeepTrackSuccess Rate59.6Unverified
10AiATrackSuccess Rate59Unverified
#ModelMetricClaimedVerifiedStatus
1HR-MonTrack-BaseSuccess Rate68.5Unverified
2HR-MonTrack-TinySuccess Rate66.3Unverified
3Multi-modalSuccess Rate63.4Unverified
4PrDiMPSuccess Rate59Unverified
5DiMPSuccess Rate57.1Unverified
6MonTrackSuccess Rate54.9Unverified
7ATOMSuccess Rate46.5Unverified
8KYSSuccess Rate26.6Unverified
#ModelMetricClaimedVerifiedStatus
1OmniTrackHOTA23.45Unverified
2DeepSORTHOTA21.16Unverified
3OC-SORTHOTA20.83Unverified
4ByteTrackHOTA20.66Unverified
5TrackFormerHOTA19.62Unverified
6HybridSORTHOTA16.64Unverified
7DiffMOTHOTA16.4Unverified
8Bot-SORTHOTA15.77Unverified
#ModelMetricClaimedVerifiedStatus
1DiMP50Success Rate67.33Unverified
2PrDiMP50Success Rate67Unverified
3PrDiMP18Success Rate65.9Unverified
4DiMP18Success Rate64.6Unverified
5AtomSuccess Rate63.8Unverified
#ModelMetricClaimedVerifiedStatus
1finalHumans0.14Unverified
2night_furyHumans0.05Unverified
3Yolo based methodHumans0.02Unverified
4finalHumans0Unverified
#ModelMetricClaimedVerifiedStatus
1M2-Trackmean precision83.4Unverified
2BATmean precision75.2Unverified
#ModelMetricClaimedVerifiedStatus
1UMMT3DMOTA95Unverified
2MMPTRACK3DMOTA94.8Unverified
#ModelMetricClaimedVerifiedStatus
1Siam-FCAverage IOU0.66Unverified
#ModelMetricClaimedVerifiedStatus
1RT-MDNetPrecision Plot0.63Unverified