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 1301–1350 of 1966 papers

TitleStatusHype
A Simple Baseline for Pose Tracking in Videos of Crowded Scenes—0
Object Tracking Using Spatio-Temporal Future Prediction—0
An Empirical Analysis of Visual Features for Multiple Object Tracking in Urban ScenesCode0
DynaSLAM II: Tightly-Coupled Multi-Object Tracking and SLAM—0
MOTChallenge: A Benchmark for Single-Camera Multiple Target Tracking—0
Joint Scene and Object Tracking for Cost-Effective Augmented Reality Assisted Patient Positioning in Radiation Therapy—0
GCNNMatch: Graph Convolutional Neural Networks for Multi-Object Tracking via Sinkhorn NormalizationCode1
DOT: Dynamic Object Tracking for Visual SLAM—0
SAMOT: Switcher-Aware Multi-Object Tracking and Still Another MOT Measure—0
Learning Spatio-Appearance Memory Network for High-Performance Visual TrackingCode1
AAA: Adaptive Aggregation of Arbitrary Online Trackers with Theoretical Performance GuaranteeCode1
Ground-truth or DAER: Selective Re-query of Secondary InformationCode0
HOTA: A Higher Order Metric for Evaluating Multi-Object TrackingCode1
3D Object Detection and Tracking Based on Streaming Data—0
Hard Occlusions in Visual Object Tracking—0
MAT: Motion-Aware Multi-Object Tracking—0
LaSOT: A High-quality Large-scale Single Object Tracking BenchmarkCode1
Visual Object Tracking by Segmentation with Graph Convolutional Network—0
e-TLD: Event-based Framework for Dynamic Object TrackingCode1
Online Multi-Object Tracking and Segmentation with GMPHD Filter and Mask-based Affinity FusionCode1
Deep Probabilistic Feature-metric TrackingCode1
Compensation Tracker: Reprocessing Lost Object for Multi-Object Tracking—0
Learning Global Structure Consistency for Robust Object Tracking—0
End-to-End 3D Multi-Object Tracking and Trajectory Forecasting—0
Simultaneous Detection and Tracking with Motion Modelling for Multiple Object TrackingCode1
Graph Neural Networks for 3D Multi-Object Tracking—0
AB3DMOT: A Baseline for 3D Multi-Object Tracking and New Evaluation Metrics—0
SoDA: Multi-Object Tracking with Soft Data Association—0
Factor Graph based 3D Multi-Object Tracking in Point Clouds—0
Robust Long-Term Object Tracking via Improved Discriminative Model PredictionCode1
Appearance-free Tripartite Matching for Multiple Object TrackingCode0
Radar-based Dynamic Occupancy Grid Mapping and Object Detection—0
Learning Consistency Pursued Correlation Filters for Real-Time UAV Tracking—0
How Trustworthy are Performance Evaluations for Basic Vision Tasks?Code0
Integration of the 3D Environment for UAV Onboard Visual Object Tracking—0
Towards Accurate Pixel-wise Object Tracking by Attention RetrievalCode1
Tracking Emerges by Looking Around Static Scenes, with Neural 3D Mapping—0
An Exploration of Target-Conditioned Segmentation Methods for Visual Object Trackers—0
SeCo: Exploring Sequence Supervision for Unsupervised Representation LearningCode1
Self-supervised Object Tracking with Cycle-consistent Siamese NetworksCode1
LSOTB-TIR:A Large-Scale High-Diversity Thermal Infrared Object Tracking BenchmarkCode1
Multi-object Tracking with an Adaptive Generalized Labeled Multi-Bernoulli FilterCode1
Towards Robust Visual Tracking for Unmanned Aerial Vehicle with Tri-Attentional Correlation FiltersCode1
Unsupervised Video Object Segmentation with Joint Hotspot Tracking—0
Object Tracking using Spatio-Temporal Networks for Future Prediction Location—0
Efficient Adversarial Attacks for Visual Object Tracking—0
Dynamic Object Tracking and Masking for Visual SLAMCode1
Dense Scene Multiple Object Tracking with Box-Plane Matching—0
Chained-Tracker: Chaining Paired Attentive Regression Results for End-to-End Joint Multiple-Object Detection and TrackingCode1
A Hybrid Neuromorphic Object Tracking and Classification Framework for Real-time SystemsCode0
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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