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 1601–1650 of 1966 papers

TitleStatusHype
Watching Swarm Dynamics from Above: A Framework for Advanced Object Tracking in Drone Videos—0
Weakly Supervised Multi-Object Tracking and Segmentation—0
Weakly Supervised Realtime Dynamic Background Subtraction—0
WebUOT-1M: Advancing Deep Underwater Object Tracking with A Million-Scale Benchmark—0
Why Accuracy Is Not Enough: The Need for Consistency in Object Detection—0
WildLive: Near Real-time Visual Wildlife Tracking onboard UAVs—0
WILDTRACK: A Multi-Camera HD Dataset for Dense Unscripted Pedestrian Detection—0
X Modality Assisting RGBT Object Tracking—0
YOLOO: You Only Learn from Others Once—0
Zero-Shot Open-Vocabulary Tracking with Large Pre-Trained Models—0
Zero-Shot Video Question Answering with Procedural Programs—0
Z-GMOT: Zero-shot Generic Multiple Object Tracking—0
ZJU ReLER Submission for EPIC-KITCHEN Challenge 2023: TREK-150 Single Object Tracking—0
Progressive Scaling Visual Object Tracking—0
Progressive Unsupervised Learning for Visual Object Tracking—0
Projecting Trackable Thermal Patterns for Dynamic Computer Vision—0
Prototypical Transformer as Unified Motion Learners—0
Pyramid Correlation based Deep Hough Voting for Visual Object Tracking—0
QR-Tag: Angular Measurement and Tracking with a QR-Design Marker—0
Quadruplet Network with One-Shot Learning for Fast Visual Object Tracking—0
Quality Matters: Embracing Quality Clues for Robust 3D Multi-Object Tracking—0
Radar Aided Proactive Blockage Prediction in Real-World Millimeter Wave Systems—0
Radar-based Dynamic Occupancy Grid Mapping and Object Detection—0
Rate-Adaptive Neural Networks for Spatial Multiplexers—0
RATM: Recurrent Attentive Tracking Model—0
RCBEVDet++: Toward High-accuracy Radar-Camera Fusion 3D Perception Network—0
Reading Relevant Feature from Global Representation Memory for Visual Object Tracking—0
Real-Time AI-Driven People Tracking and Counting Using Overhead Cameras—0
Real-time Full-stack Traffic Scene Perception for Autonomous Driving with Roadside Cameras—0
Real-time Joint Tracking of a Hand Manipulating an Object from RGB-D Input—0
Real-time Multi-modal Object Detection and Tracking on Edge for Regulatory Compliance Monitoring—0
Real-time Multi-Object Tracking Based on Bi-directional Matching—0
Real-time multiview data fusion for object tracking with RGBD sensors—0
Real Time Object Tracking Based on Inter-frame Coding: A Review—0
Real-Time Object Tracking via Meta-Learning: Efficient Model Adaptation and One-Shot Channel Pruning—0
Real-Time Part-Based Visual Tracking via Adaptive Correlation Filters—0
Real-time Pedestrian Surveillance with Top View Cumulative Grids—0
Real-time People Tracking and Identification from Sparse mm-Wave Radar Point-clouds—0
Real-time Prediction of Automotive Collision Risk from Monocular Video—0
Real-Time Vehicle Detection and Urban Traffic Behavior Analysis Based on UAV Traffic Videos on Mobile Devices—0
Real-Time Visual Object Tracking via Few-Shot Learning—0
Reasoning-Enhanced Object-Centric Learning for Videos—0
Recent Advances in Embedding Methods for Multi-Object Tracking: A Survey—0
Recent Advances of Generic Object Detection with Deep Learning: A Review—0
Recurrent Autoregressive Networks for Online Multi-Object Tracking—0
Refinements in Motion and Appearance for Online Multi-Object Tracking—0
Regional Active Contours based on Variational level sets and Machine Learning for Image Segmentation—0
ReIDTracker Sea: the technical report of BoaTrack and SeaDronesSee-MOT challenge at MaCVi of WACV24—0
ReIDTrack: Multi-Object Track and Segmentation Without Motion—0
Relation3DMOT: Exploiting Deep Affinity for 3D Multi-Object Tracking from View Aggregation—0
Show:102550
← PrevPage 33 of 40Next →
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