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 1101–1150 of 1966 papers

TitleStatusHype
Track without Appearance: Learn Box and Tracklet Embedding with Local and Global Motion Patterns for Vehicle TrackingCode1
3D-SiamRPN: An End-to-End Learning Method for Real-Time 3D Single Object Tracking Using Raw Point Cloud—0
VisEvent: Reliable Object Tracking via Collaboration of Frame and Event FlowsCode1
Box-Aware Feature Enhancement for Single Object Tracking on Point CloudsCode1
Multi-domain Collaborative Feature Representation for Robust Visual Object Tracking—0
An Uncertainty-Aware Performance Measure for Multi-Object Tracking—0
Joint Multi-Object Detection and Tracking with Camera-LiDAR Fusion for Autonomous DrivingCode1
An optical biomimetic eyes with interested object imaging—0
Saliency-Associated Object TrackingCode1
Neural Free-Viewpoint Performance Rendering under Complex Human-object Interactions—0
BundleTrack: 6D Pose Tracking for Novel Objects without Instance or Category-Level 3D ModelsCode1
Lighter Stacked Hourglass Human Pose Estimation—0
Learning to Adversarially Blur Visual Object TrackingCode1
DeepScale: Online Frame Size Adaptation for Multi-object Tracking on Smart Cameras and Edge Servers—0
Structured World Belief for Reinforcement Learning in POMDP—0
MeNToS: Tracklets Association with a Space-Time Memory Network—0
Real Time Pear Fruit Detection and Counting Using YOLOv4 Models and Deep SORTCode1
Object Tracking and Geo-localization from Street Images—0
CFTrack: Center-based Radar and Camera Fusion for 3D Multi-Object Tracking—0
Merging Tasks for Video Panoptic Segmentation—0
Score refinement for confidence-based 3D multi-object trackingCode1
Semi-TCL: Semi-Supervised Track Contrastive Representation Learning—0
Do Different Tracking Tasks Require Different Appearance Models?Code1
Generating Synthetic Training Data for Deep Learning-Based UAV Trajectory Prediction—0
On the detection-to-track association for online multi-object tracking—0
MissFormer: (In-)attention-based handling of missing observations for trajectory filtering and prediction—0
Synthetic Data Are as Good as the Real for Association Knowledge Learning in Multi-object Tracking—0
Vision-driven Compliant Manipulation for Reliable, High-Precision Assembly TasksCode1
Prototypical Cross-Attention Networks for Multiple Object Tracking and SegmentationCode1
Multiple Object Tracking with Mixture Density Networks for Trajectory Estimation—0
Progressive Unsupervised Learning for Visual Object Tracking—0
EventZoom: Learning To Denoise and Super Resolve Neuromorphic Events—0
Improving Multiple Object Tracking With Single Object Tracking—0
A Multi-Layered Approach for Measuring the Simulation-to-Reality Gap of Radar Perception for Autonomous Driving—0
Domain Adaptive SiamRPN++ for Object Tracking in the Wild—0
DyGLIP: A Dynamic Graph Model with Link Prediction for Accurate Multi-Camera Multiple Object TrackingCode1
Tracking by Joint Local and Global Search: A Target-aware Attention based ApproachCode1
PC-DAN: Point Cloud based Deep Affinity Network for 3D Multi-Object Tracking (Accepted as an extended abstract in JRDB-ACT Workshop at CVPR21)—0
Online and Real-Time Tracking in a Surveillance Scenario—0
Know Your Surroundings: Panoramic Multi-Object Tracking by Multimodality Collaboration—0
A Joint Intensity-Neuromorphic Event Imaging System for Resource Constrained Devices—0
Tracking Without Re-recognition in Humans and Machines—0
SiamMOT: Siamese Multi-Object TrackingCode1
Real-time People Tracking and Identification from Sparse mm-Wave Radar Point-clouds—0
SiamRCR: Reciprocal Classification and Regression for Visual Object Tracking—0
Principled information fusion for multi-view multi-agent surveillance systems—0
Soccer Player Tracking in Low Quality VideoCode0
Robust Unsupervised Multi-Object Tracking in Noisy EnvironmentsCode0
Multi-object Tracking with Tracked Object Bounding Box AssociationCode1
TSDF++: A Multi-Object Formulation for Dynamic Object Tracking and ReconstructionCode1
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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