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
Adaptive Perception for Unified Visual Multi-modal Object Tracking—0
Adaptive Subsampling for ROI-based Visual Tracking: Algorithms and FPGA Implementation—0
A Data-driven Approach for Human Pose Tracking Based on Spatio-temporal Pictorial Structure—0
A data set for evaluating the performance of multi-class multi-object video tracking—0
Addressing single object tracking in satellite imagery through prompt-engineered solutions—0
A Deep-Unfolded Spatiotemporal RPCA Network For L+S Decomposition—0
Adiabatic Quantum Computing for Multi Object Tracking—0
A Discriminative Single-Shot Segmentation Network for Visual Object Tracking—0
Aerial multi-object tracking by detection using deep association networks—0
Aerial Vehicle Tracking by Adaptive Fusion of Hyperspectral Likelihood Maps—0
A fast multi-object tracking system using an object detector ensemble—0
AFAT: Adaptive Failure-Aware Tracker for Robust Visual Object Tracking—0
A Flexible-Frame-Rate Vision-Aided Inertial Object Tracking System for Mobile Devices—0
A General Recurrent Tracking Framework Without Real Data—0
Aggregation Signature for Small Object Tracking—0
A Graphical Social Topology Model for Multi-Object Tracking—0
A Hierarchical Graph Signal Processing Approach to Inference from Spatiotemporal Signals—0
A Hybrid Approach To Real-Time Multi-Object Tracking—0
A Hybrid Data Association Framework for Robust Online Multi-Object Tracking—0
A Hypergradient Approach to Robust Regression without Correspondence—0
AirTrack: Onboard Deep Learning Framework for Long-Range Aircraft Detection and Tracking—0
A Joint Intensity-Neuromorphic Event Imaging System for Resource Constrained Devices—0
A Large Scale Urban Surveillance Video Dataset for Multiple-Object Tracking and Behavior Analysis—0
All Weather Perception: Joint Data Association, Tracking, and Classification for Autonomous Ground Vehicles—0
A low-power end-to-end hybrid neuromorphic framework for surveillance applications—0
AM-SORT: Adaptable Motion Predictor with Historical Trajectory Embedding for Multi-Object Tracking—0
A Multi-Layered Approach for Measuring the Simulation-to-Reality Gap of Radar Perception for Autonomous Driving—0
An Accelerated Correlation Filter Tracker—0
Analysis of Object Detection Models for Tiny Object in Satellite Imagery: A Dataset-Centric Approach—0
An application of a deep learning algorithm for automatic detection of unexpected accidents under bad CCTV monitoring conditions in tunnels—0
An Approach for Multi-Object Tracking with Two-Stage Min-Cost Flow—0
An Approximate Dynamic Programming Framework for Occlusion-Robust Multi-Object Tracking—0
An Efficient Background Term for 3D Reconstruction and Tracking With Smooth Surface Models—0
An Efficient Semi-Automated Scheme for Infrastructure LiDAR Annotation—0
An Empirical Review of Deep Learning Frameworks for Change Detection: Model Design, Experimental Frameworks, Challenges and Research Needs—0
An Empirical Study of Autoregressive Pre-training from Videos—0
An End-to-End Framework of Road User Detection, Tracking, and Prediction from Monocular Images—0
An End-to-End Trainable Video Panoptic Segmentation Method usingTransformers—0
A New Dataset and a Distractor-Aware Architecture for Transparent Object Tracking—0
An Experimental Survey on Correlation Filter-based Tracking—0
An Exploration of Target-Conditioned Segmentation Methods for Visual Object Trackers—0
AnimalTrack: A Benchmark for Multi-Animal Tracking in the Wild—0
An Improved End-to-End Multi-Target Tracking Method Based on Transformer Self-Attention—0
An Online Approach and Evaluation Method for Tracking People Across Cameras in Extremely Long Video Sequence—0
An On-line Variational Bayesian Model for Multi-Person Tracking from Cluttered Scenes—0
An optical biomimetic eyes with interested object imaging—0
A Novel Bounding Box Regression Method for Single Object Tracking—0
A Novel Low-cost FPGA-based Real-time Object Tracking System—0
An Overview of Multi-Object Estimation via Labeled Random Finite Set—0
An RSSI-based Wireless Sensor Node Localisation using Trilateration and Multilateration Methods for Outdoor Environment—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