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 926–950 of 1966 papers

TitleStatusHype
Deep Network Flow for Multi-Object Tracking—0
Bags of Affine Subspaces for Robust Object Tracking—0
Is First Person Vision Challenging for Object Tracking?—0
ISAR: A Benchmark for Single- and Few-Shot Object Instance Segmentation and Re-Identification—0
Learning Target-oriented Dual Attention for Robust RGB-T Tracking—0
IP-MOT: Instance Prompt Learning for Cross-Domain Multi-Object Tracking—0
Deep Multi-Shot Network for modelling Appearance Similarity in Multi-Person Tracking applications—0
Inverse Neural Rendering for Explainable Multi-Object Tracking—0
Learning to Track Any Object—0
Introduction of a tree-based technique for efficient and real-time label retrieval in the object tracking system—0
Introducing HOT3D: An Egocentric Dataset for 3D Hand and Object Tracking—0
Learning to Update for Object Tracking with Recurrent Meta-learner—0
Learning to Visually Connect Actions and their Effects—0
DeepMix: Online Auto Data Augmentation for Robust Visual Object Tracking—0
BackTrack: Robust template update via Backward Tracking of candidate template—0
Background Subtraction with Real-time Semantic Segmentation—0
A CNN-LSTM Architecture for Marine Vessel Track Association Using Automatic Identification System (AIS) Data—0
1st Workshop on Maritime Computer Vision (MaCVi) 2023: Challenge Results—0
InterTrack: Interaction Transformer for 3D Multi-Object Tracking—0
InterTracker: Discovering and Tracking General Objects Interacting with Hands in the Wild—0
Leveraging the Power of Data Augmentation for Transformer-based Tracking—0
LiDAR MOT-DETR: A LiDAR-based Two-Stage Transformer for 3D Multiple Object Tracking—0
Deep-LK for Efficient Adaptive Object Tracking—0
Interpretable Deep Tracking—0
InternVideo2.5: Empowering Video MLLMs with Long and Rich Context Modeling—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