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 726–750 of 1966 papers

TitleStatusHype
Spatio-Temporal Point Process for Multiple Object Tracking—0
Object Preserving Siamese Network for Single Object Tracking on Point Clouds—0
Deep Learning Based Object Tracking in Walking Droplet and Granular Intruder ExperimentsCode0
Compact Transformer Tracker with Correlative Masked ModelingCode1
An Efficient Semi-Automated Scheme for Infrastructure LiDAR Annotation—0
Tracking Different Ant Species: An Unsupervised Domain Adaptation Framework and a Dataset for Multi-object TrackingCode0
Planar Object Tracking via Weighted Optical FlowCode1
Benchmarking YOLOv5 and YOLOv7 models with DeepSORT for droplet tracking applicationsCode0
EgoTracks: A Long-term Egocentric Visual Object Tracking DatasetCode0
Flying Bird Object Detection Algorithm in Surveillance Video Based on Motion Information—0
Underwater Object Tracker: UOSTrack for Marine Organism Grasping of Underwater VehiclesCode0
Cross Modal Transformer: Towards Fast and Robust 3D Object DetectionCode3
Heterogeneous Diversity Driven Active Learning for Multi-Object Tracking—0
A Fast Unified System for 3D Object Detection and TrackingCode1
Multiple Planar Object Tracking—0
F&F Attack: Adversarial Attack against Multiple Object Trackers by Inducing False Negatives and False Positives—0
CIRI: Curricular Inactivation for Residue-aware One-shot Video InpaintingCode0
End-to-end 3D Tracking with Decoupled Queries—0
Tracking without Label: Unsupervised Multiple Object Tracking via Contrastive Similarity Learning—0
Deep Active Contours for Real-time 6-DoF Object Tracking—0
Foreground-Background Distribution Modeling Transformer for Visual Object Tracking—0
UTM: A Unified Multiple Object Tracking Model With Identity-Aware Feature Enhancement—0
Context-Aware Relative Object Queries To Unify Video Instance and Panoptic SegmentationCode1
Tracking Multiple Deformable Objects in Egocentric Videos—0
Representation Learning for Visual Object Tracking by Masked Appearance TransferCode1
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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