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 651–700 of 1966 papers

TitleStatusHype
SkyNet: a Hardware-Efficient Method for Object Detection and Tracking on Embedded SystemsCode0
Argoverse: 3D Tracking and Forecasting with Rich MapsCode0
Markov Chain Monte Carlo Multi-Scan Data Association for Sets of TrajectoriesCode0
muSSP: Efficient Min-cost Flow Algorithm for Multi-object TrackingCode0
Collaborative Tracking Learning for Frame-Rate-Insensitive Multi-Object TrackingCode0
Map3D: Registration Based Multi-Object Tracking on 3D Serial Whole Slide ImagesCode0
A Region-based Gauss-Newton Approach to Real-Time Monocular Multiple Object TrackingCode0
Exploit the Connectivity: Multi-Object Tracking with TrackletNetCode0
Exploiting Spatial Invariance for Scalable Unsupervised Object TrackingCode0
Exploiting More Information in Sparse Point Cloud for 3D Single Object TrackingCode0
AViTMP: A Tracking-Specific Transformer for Single-Branch Visual TrackingCode0
TransCAB: Transferable Clean-Annotation Backdoor to Object Detection with Natural Trigger in Real-WorldCode0
Coarse-to-Fine Object Tracking Using Deep Features and Correlation FiltersCode0
Lucid Data Dreaming for Video Object SegmentationCode0
A Real-Time Region Tracking Algorithm Tailored to Endoscopic Video with Open-Source ImplementationCode0
LRR: Language-Driven Resamplable Continuous Representation against Adversarial Tracking AttacksCode0
SiamMo: Siamese Motion-Centric 3D Object TrackingCode0
Event-based Visual Tracking in Dynamic EnvironmentsCode0
Local Perception-Aware Transformer for Aerial TrackingCode0
Long-Term Visual Object Tracking BenchmarkCode0
Appearance-free Tripartite Matching for Multiple Object TrackingCode0
Event-based attention and tracking on neuromorphic hardwareCode0
Evaluating the Significance of Outdoor Advertising from Driver's Perspective Using Computer VisionCode0
CliCR: A Dataset of Clinical Case Reports for Machine Reading ComprehensionCode0
Adversarial Attack for RGB-Event based Visual Object TrackingCode0
LightTrack: A Generic Framework for Online Top-Down Human Pose TrackingCode0
Leveraging Foundation Models via Knowledge Distillation in Multi-Object Tracking: Distilling DINOv2 Features to FairMOTCode0
Leveraging Shape Completion for 3D Siamese TrackingCode0
Learning Video Object Segmentation from Static ImagesCode0
EOTNet: Deep Memory Aided Bayesian Filter for Extended Object TrackingCode0
Learning Dynamic Memory Networks for Object TrackingCode0
Computing Representations for Lie Algebraic NetworksCode0
EnKCF: Ensemble of Kernelized Correlation Filters for High-Speed Object TrackingCode0
Learning Deep Multi-Level Similarity for Thermal Infrared Object TrackingCode0
Enhancing Thermal MOT: A Novel Box Association Method Leveraging Thermal Identity and Motion SimilarityCode0
CIRI: Curricular Inactivation for Residue-aware One-shot Video InpaintingCode0
Learning Differentiable Particle Filter on the FlyCode0
Learning Attentions: Residual Attentional Siamese Network for High Performance Online Visual TrackingCode0
Enhancing Cell Tracking with a Time-Symmetric Deep Learning ApproachCode0
3D-SiamMask: Vision-Based Multi-Rotor Aerial-Vehicle Tracking for a Moving ObjectCode0
Learning Aberrance Repressed Correlation Filters for Real-Time UAV TrackingCode0
Learning Adaptive Discriminative Correlation Filters via Temporal Consistency Preserving Spatial Feature Selection for Robust Visual TrackingCode0
Learning better representations for crowded pedestrians in offboard LiDAR-camera 3D tracking-by-detectionCode0
General-Purpose Deep Point Cloud Feature ExtractorCode0
Multi-hierarchical Independent Correlation Filters for Visual TrackingCode0
CGTrack: Cascade Gating Network with Hierarchical Feature Aggregation for UAV TrackingCode0
Large-Scale Object Discovery and Detector Adaptation from Unlabeled VideoCode0
KnotResolver: Tracking self-intersecting filaments in microscopy using directed graphsCode0
Kernalised Multi-resolution Convnet for Visual TrackingCode0
Adaptive Correlation Filters with Long-Term and Short-Term Memory for Object TrackingCode0
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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