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 351–400 of 1966 papers

TitleStatusHype
Immortal Tracker: Tracklet Never DiesCode1
Detecting and Tracking Small and Dense Moving Objects in Satellite Videos: A BenchmarkCode1
CDNet is all you need: Cascade DCN based underwater object detection RCNNCode1
Online Adaptation for Implicit Object Tracking and Shape Reconstruction in the WildCode1
Tracking Grow-Finish Pigs Across Large Pens Using Multiple CamerasCode1
SimpleTrack: Understanding and Rethinking 3D Multi-object TrackingCode1
Tracklet-Switch Adversarial Attack against Pedestrian Multi-Object Tracking TrackersCode1
Self-Supervised Multi-Object Tracking with Cross-Input ConsistencyCode1
Towards Active Vision for Action Localization with Reactive Control and Predictive LearningCode1
3D Siamese Voxel-to-BEV Tracker for Sparse Point CloudsCode1
PolyTrack: Tracking with Bounding PolygonsCode1
3D Object Tracking with TransformerCode1
SRT3D: A Sparse Region-Based 3D Object Tracking Approach for the Real WorldCode1
Siamese Transformer Pyramid Networks for Real-Time UAV TrackingCode1
ByteTrack: Multi-Object Tracking by Associating Every Detection BoxCode1
Object Tracking by Jointly Exploiting Frame and Event DomainCode1
Optimal Target Shape for LiDAR Pose EstimationCode1
DepthTrack : Unveiling the Power of RGBD TrackingCode1
Joint Learning Architecture for Multiple Object Tracking and Trajectory ForecastingCode1
Making Higher Order MOT Scalable: An Efficient Approximate Solver for Lifted Disjoint PathsCode1
Exploring Simple 3D Multi-Object Tracking for Autonomous DrivingCode1
PTT: Point-Track-Transformer Module for 3D Single Object Tracking in Point CloudsCode1
Track without Appearance: Learn Box and Tracklet Embedding with Local and Global Motion Patterns for Vehicle TrackingCode1
VisEvent: Reliable Object Tracking via Collaboration of Frame and Event FlowsCode1
Joint Multi-Object Detection and Tracking with Camera-LiDAR Fusion for Autonomous DrivingCode1
Box-Aware Feature Enhancement for Single Object Tracking on Point CloudsCode1
Saliency-Associated Object TrackingCode1
BundleTrack: 6D Pose Tracking for Novel Objects without Instance or Category-Level 3D ModelsCode1
Learning to Adversarially Blur Visual Object TrackingCode1
Real Time Pear Fruit Detection and Counting Using YOLOv4 Models and Deep SORTCode1
Score refinement for confidence-based 3D multi-object trackingCode1
Do Different Tracking Tasks Require Different Appearance Models?Code1
Vision-driven Compliant Manipulation for Reliable, High-Precision Assembly TasksCode1
Prototypical Cross-Attention Networks for Multiple Object Tracking and SegmentationCode1
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
SiamMOT: Siamese Multi-Object TrackingCode1
Multi-object Tracking with Tracked Object Bounding Box AssociationCode1
TSDF++: A Multi-Object Formulation for Dynamic Object Tracking and ReconstructionCode1
MOTR: End-to-End Multiple-Object Tracking with TransformerCode1
EagerMOT: 3D Multi-Object Tracking via Sensor FusionCode1
LightTrack: Finding Lightweight Neural Networks for Object Tracking via One-Shot Architecture SearchCode1
Distractor-Aware Fast Tracking via Dynamic Convolutions and MOT PhilosophyCode1
CoCoNets: Continuous Contrastive 3D Scene RepresentationsCode1
Local Metrics for Multi-Object TrackingCode1
Online Multiple Object Tracking with Cross-Task SynergyCode1
Learning Spatio-Temporal Transformer for Visual TrackingCode1
Rethinking Self-supervised Correspondence Learning: A Video Frame-level Similarity PerspectiveCode1
Towards More Flexible and Accurate Object Tracking with Natural Language: Algorithms and BenchmarkCode1
Dynamic Attention guided Multi-Trajectory Analysis for Single Object TrackingCode1
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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