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 1651–1700 of 1966 papers

TitleStatusHype
RelationTrack: Relation-aware Multiple Object Tracking with Decoupled Representation—0
ReMOTS: Self-Supervised Refining Multi-Object Tracking and Segmentation—0
Improved Estimation Accuracy in OFDM-based Joint Communication and Sensing through Kalman Tracking and Interpolation—0
Rethinking Convolutional Features in Correlation Filter Based Tracking—0
Revolutionizing Retail Analytics: Advancing Inventory and Customer Insight with AI—0
RGBD Datasets: Past, Present and Future—0
RGB-T Object Tracking:Benchmark and Baseline—0
RLM-Tracking: Online Multi-Pedestrian Tracking Supported by Relative Location Mapping—0
Robust 3D Tracking with Quality-Aware Shape Completion—0
Robust and Real-time Deep Tracking Via Multi-Scale Domain Adaptation—0
Robust compressive tracking via online weighted multiple instance learning—0
Robust event-stream pattern tracking based on correlative filter—0
RobustFusion: Robust Volumetric Performance Reconstruction under Human-object Interactions from Monocular RGBD Stream—0
Robustifying 3D Perception through Least-Squares Multi-Agent Graphs Object Tracking—0
Robust Moving Objects Detection in Lidar Data Exploiting Visual Cues—0
Robust Multi-Object Tracking by Marginal Inference—0
Robust Object Tracking Based on Self-adaptive Search Area—0
Robust Object Tracking Based on Temporal and Spatial Deep Networks—0
Robust Object Tracking with a Hierarchical Ensemble Framework—0
Robust Object Tracking with Crow Search Optimized Multi-cue Particle Filter—0
Robust Online Multi-Object Tracking based on Tracklet Confidence and Online Discriminative Appearance Learning—0
Robust Online Multi-target Visual Tracking using a HISP Filter with Discriminative Deep Appearance Learning—0
Robust Privacy-Preserving Motion Detection and Object Tracking in Encrypted Streaming Video—0
Robust Real-Time Tracking of Multiple Objects by Volumetric Mass Densities—0
Robust Single Object Tracking in LiDAR Point Clouds under Adverse Weather Conditions—0
Robust video object tracking using particle filter with likelihood based feature fusion and adaptive template updating—0
Robust video object tracking via Bayesian model averaging based feature fusion—0
Robust Visual Object Tracking with Two-Stream Residual Convolutional Networks—0
Robust Visual Servoing under Human Supervision for Assembly Tasks—0
Robust Visual Tracking by Motion Analyzing—0
RSPT: Reconstruct Surroundings and Predict Trajectories for Generalizable Active Object Tracking—0
RTAT: A Robust Two-stage Association Tracker for Multi-Object Tracking—0
RT-MOT: Confidence-Aware Real-Time Scheduling Framework for Multi-Object Tracking Tasks—0
RTrack: Accelerating Convergence for Visual Object Tracking via Pseudo-Boxes Exploration—0
Rt-Track: Robust Tricks for Multi-Pedestrian Tracking—0
S^3Track: Self-supervised Tracking with Soft Assignment Flow—0
Saccade Mechanisms for Image Classification, Object Detection and Tracking—0
SAEN-BGS: Energy-Efficient Spiking AutoEncoder Network for Background Subtraction—0
Saliency-Enhanced Robust Visual Tracking—0
SAM2Auto: Auto Annotation Using FLASH—0
Samba: Synchronized Set-of-Sequences Modeling for Multiple Object Tracking—0
SAM for Poultry Science—0
SAMOT: Switcher-Aware Multi-Object Tracking and Still Another MOT Measure—0
Scalable Detection and Tracking of Geometric Extended Objects—0
Scaling 4D Representations—0
SCTracker: Multi-object tracking with shape and confidence constraints—0
SDTracker: Synthetic Data Based Multi-Object Tracking—0
SDVTracker: Real-Time Multi-Sensor Association and Tracking for Self-Driving Vehicles—0
SeaDronesSee: A Maritime Benchmark for Detecting Humans in Open Water—0
SeaDSC: A video-based unsupervised method for dynamic scene change detection in unmanned surface vehicles—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