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 1251–1300 of 1966 papers

TitleStatusHype
EventZoom: Learning To Denoise and Super Resolve Neuromorphic Events—0
Improving Multiple Object Tracking With Single Object Tracking—0
Progressive Unsupervised Learning for Visual Object Tracking—0
Domain Adaptive SiamRPN++ for Object Tracking in the Wild—0
A Multi-Layered Approach for Measuring the Simulation-to-Reality Gap of Radar Perception for Autonomous Driving—0
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
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
Uncertainty in Minimum Cost Multicuts for Image and Motion Segmentation—0
Contrastive Learning of Image Representations with Cross-Video Cycle-Consistency—0
RelationTrack: Relation-aware Multiple Object Tracking with Decoupled Representation—0
Faster and Simpler Siamese Network for Single Object Tracking—0
Spatio-Temporal Matching for Siamese Visual Tracking—0
Split and Connect: A Universal Tracklet Booster for Multi-Object Tracking—0
SeaDronesSee: A Maritime Benchmark for Detecting Humans in Open Water—0
An Empirical Review of Deep Learning Frameworks for Change Detection: Model Design, Experimental Frameworks, Challenges and Research Needs—0
Learning data association without data association: An EM approach to neural assignment prediction—0
RobustFusion: Robust Volumetric Performance Reconstruction under Human-object Interactions from Monocular RGBD Stream—0
Multi-object Tracking Method Based on Efficient Channel Attention and Switchable Atrous Convolution—0
Two stages for visual object tracking—0
Temp-Frustum Net: 3D Object Detection with Temporal FusionCode0
DeepMix: Online Auto Data Augmentation for Robust Visual Object Tracking—0
Learnable Online Graph Representations for 3D Multi-Object Tracking—0
Opening up Open-World Tracking—0
One More Check: Making "Fake Background" Be Tracked Again—0
Continuity-Discrimination Convolutional Neural Network for Visual Object Tracking—0
Convolutional Neural Networks in Orthodontics: a review—0
Unidentified Video Objects: A Benchmark for Dense, Open-World Segmentation—0
Multiple Object Tracking with Correlation Learning—0
SiamReID: Confuser Aware Siamese Tracker with Re-identification Feature—0
Learning Mobile CNN Feature Extraction Toward Fast Computation of Visual Object Tracking—0
TransMOT: Spatial-Temporal Graph Transformer for Multiple Object Tracking—0
MeanShift++: Extremely Fast Mode-Seeking With Applications to Segmentation and Object Tracking—0
Learning Target Candidate Association to Keep Track of What Not to Track—0
Tracking 6-DoF Object Motion from Events and Frames—0
Single Object Tracking through a Fast and Effective Single-Multiple Model Convolutional Neural Network—0
Benchmarking Deep Trackers on Aerial Videos—0
Global Correlation Network: End-to-End Joint Multi-Object Detection and Tracking—0
Scalable Detection and Tracking of Geometric Extended Objects—0
TDIOT: Target-driven Inference for Deep Video Object TrackingCode0
Higher Performance Visual Tracking with Dual-Modal Localization—0
Real-Time Visual Object Tracking via Few-Shot Learning—0
Equivariant Filters for Efficient Tracking in 3D Imaging—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