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 1751–1775 of 1966 papers

TitleStatusHype
Label and Sample: Efficient Training of Vehicle Object Detector from Sparsely Labeled Data—0
Label Space Partition Selection for Multi-Object Tracking Using Two-Layer Partitioning—0
Large Margin Object Tracking with Circulant Feature Maps—0
Large Margin Structured Convolution Operator for Thermal Infrared Object Tracking—0
Latent Constrained Correlation Filter—0
LDTrack: Dynamic People Tracking by Service Robots using Diffusion Models—0
Learnable Online Graph Representations for 3D Multi-Object Tracking—0
Learning a Fast 3D Spectral Approach to Object Segmentation and Tracking over Space and Time—0
Learning a Neural Association Network for Self-supervised Multi-Object Tracking—0
Learning a Robust Society of Tracking Parts using Co-occurrence Constraints—0
Learning a Robust Society of Tracking Parts—0
Learning Consistency Pursued Correlation Filters for Real-Time UAV Tracking—0
Learning Correspondence for Deformable Objects—0
Learning data association without data association: An EM approach to neural assignment prediction—0
Learning Dual-Fused Modality-Aware Representations for RGBD Tracking—0
Learning Dynamic Compact Memory Embedding for Deformable Visual Object Tracking—0
Learning Dynamic Siamese Network for Visual Object Tracking—0
Learning feed-forward one-shot learners—0
Learning Global Structure Consistency for Robust Object Tracking—0
Learning Hierarchical Features for Visual Object Tracking with Recursive Neural Networks—0
Learning Irreducible Representations of Noncommutative Lie Groups—0
Learning Local Feature Descriptors for Multiple Object Tracking—0
Learning Mobile CNN Feature Extraction Toward Fast Computation of Visual Object Tracking—0
Learning Moving-Object Tracking with FMCW LiDAR—0
Learning Multi-Object Tracking and Segmentation from Automatic Annotations—0
Show:102550
← PrevPage 71 of 79Next →
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