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
GMMCP Tracker: Globally Optimal Generalized Maximum Multi Clique Problem for Multiple Object Tracking—0
GRAE-3DMOT: Geometry Relation-Aware Encoder for Online 3D Multi-Object Tracking—0
Graph Attention Tracking—0
Graph-Based Multi-Modal Sensor Fusion for Autonomous Driving—0
Graph Neural Networks for 3D Multi-Object Tracking—0
GridShift: A Faster Mode-seeking Algorithm for Image Segmentation and Object Tracking—0
Gr-IoU: Ground-Intersection over Union for Robust Multi-Object Tracking with 3D Geometric Constraints—0
GSLAMOT: A Tracklet and Query Graph-based Simultaneous Locating, Mapping, and Multiple Object Tracking System—0
GTR: Gaussian Splatting Tracking and Reconstruction of Unknown Objects Based on Appearance and Geometric Complexity—0
GUSOT: Green and Unsupervised Single Object Tracking for Long Video Sequences—0
Handcrafted and Deep Trackers: Recent Visual Object Tracking Approaches and Trends—0
Handling Heavy Occlusion in Dense Crowd Tracking by Focusing on the Heads—0
Haptic Repurposing with GenAI—0
Hard Occlusions in Visual Object Tracking—0
Head Mounted Pupil Tracking Using Convolutional Neural Network—0
Heterogeneous Diversity Driven Active Learning for Multi-Object Tracking—0
Heteroskedastic Geospatial Tracking with Distributed Camera Networks—0
Heuristic Search for Structural Constraints in Data Association—0
Hierarchical Convolutional Features for Visual Tracking—0
Higher Performance Visual Tracking with Dual-Modal Localization—0
High Performance Visual Object Tracking with Unified Convolutional Networks—0
High-temporal-resolution event-based vehicle detection and tracking—0
HOT3D: Hand and Object Tracking in 3D from Egocentric Multi-View Videos—0
How good are deep learning methods for automated road safety analysis using video data? An experimental study—0
How Texts Help? A Fine-grained Evaluation to Reveal the Role of Language in Vision-Language Tracking—0
How to deal with glare for improved perception of Autonomous Vehicles—0
HHTrack: Hyperspectral Object Tracking Using Hybrid Attention—0
SynCL: A Synergistic Training Strategy with Instance-Aware Contrastive Learning for End-to-End Multi-Camera 3D Tracking—0
Human Face Recognition using Line Features—0
HVC-Net: Unifying Homography, Visibility, and Confidence Learning for Planar Object Tracking—0
Hypergraphs for Joint Multi-view Reconstruction and Multi-object Tracking—0
Hyperparameter Optimization for Tracking With Continuous Deep Q-Learning—0
Hyperspectral Adapter for Object Tracking based on Hyperspectral Video—0
Hy-Tracker: A Novel Framework for Enhancing Efficiency and Accuracy of Object Tracking in Hyperspectral Videos—0
IA-MOT: Instance-Aware Multi-Object Tracking with Motion Consistency—0
Identifying First-person Camera Wearers in Third-person Videos—0
Image-based monitoring of bolt loosening through deep-learning-based integrated detection and tracking—0
Image Pixel Fusion for Human Face Recognition—0
I'M HOI: Inertia-aware Monocular Capture of 3D Human-Object Interactions—0
Implicit and Efficient Point Cloud Completion for 3D Single Object Tracking—0
Improving End-to-End Object Tracking Using Relational Reasoning—0
Improving Human Annotation in Single Object Tracking—0
Improving Model Drift for Robust Object Tracking—0
Improving Multiple Object Tracking with Optical Flow and Edge Preprocessing—0
Improving Multiple Object Tracking With Single Object Tracking—0
Deep Similarity Metric Learning for Real-Time Pedestrian Tracking—0
Improving tracking with a tracklet associator—0
Improving trajectory continuity in drone-based crowd monitoring using a set of minimal-cost techniques and deep discriminative correlation filters—0
Incorporating Data Uncertainty in Object Tracking Algorithms—0
Incremental Deep Learning for Robust Object Detection in Unknown Cluttered Environments—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