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 1201–1250 of 1966 papers

TitleStatusHype
Distributed Extended Object Tracking Information Filter Over Sensor Networks—0
Explicitly Modeling the Discriminability for Instance-Aware Visual Object Tracking—0
Real-time multiview data fusion for object tracking with RGBD sensors—0
A time-weighted metric for sets of trajectories to assess multi-object tracking algorithmsCode0
Event Data Association via Robust Model Fitting for Event-based Object Tracking—0
Deep Learning for UAV-based Object Detection and Tracking: A Survey—0
Depth-only Object Tracking—0
Multi-Object Tracking and Segmentation with a Space-Time Memory Network—0
Evaluating and Improving Interactions with Hazy Oracles—0
HM-Net: A Regression Network for Object Center Detection and Tracking on Wide Area Motion ImageryCode0
DG-Labeler and DGL-MOTS Dataset: Boost the Autonomous Driving Perception—0
Pyramid Correlation based Deep Hough Voting for Visual Object Tracking—0
Multiple Object Trackers in OpenCV: A BenchmarkCode0
Synthesizing Video Trajectory Queries—0
An End-to-End Trainable Video Panoptic Segmentation Method usingTransformers—0
Player Tracking and Identification in Ice Hockey—0
Multi-Object Tracking with Deep Learning Ensemble for Unmanned Aerial System Applications—0
UHP-SOT: An Unsupervised High-Performance Single Object Tracker—0
The Challenge of Appearance-Free Object Tracking with Feedforward Neural Networks—0
Conjugation Invariant Learning with Neural Networks—0
SiamEvent: Event-based Object Tracking via Edge-aware Similarity Learning with Siamese NetworksCode0
Vehicle Detection and Tracking From Surveillance Cameras in Urban Scenes—0
Incorporating Data Uncertainty in Object Tracking Algorithms—0
A Wide-area, Low-latency, and Power-efficient 6-DoF Pose Tracking System for Rigid Objects—0
Identification of Driver Phone Usage Violations via State-of-the-Art Object Detection with TrackingCode0
Extended Object Tracking Using Sets Of Trajectories with a PHD Filter—0
Is First Person Vision Challenging for Object Tracking?—0
Robust Privacy-Preserving Motion Detection and Object Tracking in Encrypted Streaming Video—0
Cell Multi-Bernoulli (Cell-MB) Sensor Control for Multi-object Search-While-Tracking (SWT)—0
Deep Reinforcement Learning in Computer Vision: A Comprehensive Survey—0
The 2nd Anti-UAV Workshop & Challenge: Methods and Results—0
Multi-Object Tracking with Hallucinated and Unlabeled Videos—0
3D-SiamRPN: An End-to-End Learning Method for Real-Time 3D Single Object Tracking Using Raw Point Cloud—0
Multi-domain Collaborative Feature Representation for Robust Visual Object Tracking—0
An Uncertainty-Aware Performance Measure for Multi-Object Tracking—0
An optical biomimetic eyes with interested object imaging—0
Neural Free-Viewpoint Performance Rendering under Complex Human-object Interactions—0
Lighter Stacked Hourglass Human Pose Estimation—0
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
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
Semi-TCL: Semi-Supervised Track Contrastive Representation Learning—0
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
Multiple Object Tracking with Mixture Density Networks for Trajectory Estimation—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