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

Showing 17011750 of 1966 papers

TitleStatusHype
Search Tracker: Human-derived object tracking in-the-wild through large-scale search and retrieval0
Sea You Later: Metadata-Guided Long-Term Re-Identification for UAV-Based Multi-Object Tracking0
Seed Kernel Counting using Domain Randomization and Object Tracking Neural Networks0
Seeing Behind Objects for 3D Multi-Object Tracking in RGB-D Sequences0
Segment Anything for Microscopy0
Predictor-corrector algorithms for stochastic optimization under gradual distribution shiftCode0
Beyond Pixels: Leveraging Geometry and Shape Cues for Online Multi-Object TrackingCode0
D^3: Duplicate Detection Decontaminator for Multi-Athlete Tracking in Sports VideosCode0
Ground-truth or DAER: Selective Re-query of Secondary InformationCode0
Proposal, Tracking and Segmentation (PTS): A Cascaded Network for Video Object SegmentationCode0
Particle Filter Networks with Application to Visual LocalizationCode0
Online Object Tracking, Learning and Parsing with And-Or GraphsCode0
Learning Discriminative Model Prediction for TrackingCode0
Psychlab: A Psychology Laboratory for Deep Reinforcement Learning AgentsCode0
Online Multi-Object Tracking with Dual Matching Attention NetworksCode0
Online multi-object tracking via robust collaborative model and sample selectionCode0
Online Multi-camera People Tracking with Spatial-temporal Mechanism and Anchor-feature Hierarchical ClusteringCode0
On Designing Light-Weight Object Trackers through Network Pruning: Use CNNs or Transformers?Code0
Transparent Object Tracking with Enhanced Fusion ModuleCode0
Observation Centric and Central Distance Recovery on Sports Player TrackingCode0
FANTrack: 3D Multi-Object Tracking with Feature Association NetworkCode0
Eyes on the Road: State-of-the-Art Video Question Answering Models Assessment for Traffic Monitoring TasksCode0
D3S -- A Discriminative Single Shot Segmentation TrackerCode0
Object Detection in Videos with Tubelet Proposal NetworksCode0
(Quasi)Periodicity Quantification in Video Data, Using TopologyCode0
Object Detection from Video Tubelets with Convolutional Neural NetworksCode0
No Blind Spots: Full-Surround Multi-Object Tracking for Autonomous Vehicles using Cameras & LiDARsCode0
CRTrack: Low-Light Semi-Supervised Multi-object Tracking Based on Consistency RegularizationCode0
Beyond Kalman Filters: Deep Learning-Based Filters for Improved Object TrackingCode0
CoBe -- Coded Beacons for Localization, Object Tracking, and SLAM AugmentationCode0
Cross-Modal Ranking with Soft Consistency and Noisy Labels for Robust RGB-T TrackingCode0
Exploit the Connectivity: Multi-Object Tracking with TrackletNetCode0
Re3 : Real-Time Recurrent Regression Networks for Visual Tracking of Generic ObjectsCode0
Beyond Correlation Filters: Learning Continuous Convolution Operators for Visual TrackingCode0
Neural Enhanced Belief Propagation for Multiobject TrackingCode0
Need for Speed: A Benchmark for Higher Frame Rate Object TrackingCode0
Tracking by Animation: Unsupervised Learning of Multi-Object Attentive TrackersCode0
Real-Time Event-Based Tracking and Detection for Maritime EnvironmentsCode0
A Hybrid Neuromorphic Object Tracking and Classification Framework for Real-time SystemsCode0
Split Happens! Imprecise and Negative Information in Gaussian Mixture Random Finite Set FilteringCode0
3D-SiamMask: Vision-Based Multi-Rotor Aerial-Vehicle Tracking for a Moving ObjectCode0
Exploiting Spatial Invariance for Scalable Unsupervised Object TrackingCode0
Real-Time Multiple Object Tracking - A Study on the Importance of SpeedCode0
Real-time Multiple People Tracking with Deeply Learned Candidate Selection and Person Re-IdentificationCode0
Exploiting More Information in Sparse Point Cloud for 3D Single Object TrackingCode0
Creative Flow+ DatasetCode0
SPSTracker: Sub-Peak Suppression of Response Map for Robust Object TrackingCode0
mvHOTA: A multi-view higher order tracking accuracy metric to measure spatial and temporal associations in multi-point detectionCode0
ViQAgent: Zero-Shot Video Question Answering via Agent with Open-Vocabulary Grounding ValidationCode0
muSSP: Efficient Min-cost Flow Algorithm for Multi-object TrackingCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1HR-CEUTrack-LargeSuccess Rate65Unverified
2HR-CEUTrack-BaseSuccess Rate63.2Unverified
3CEUTrack-LargeSuccess Rate62.8Unverified
4CEUTrack-BaseSuccess Rate62Unverified
5SiamR-CNNSuccess Rate60.9Unverified
6TransTSuccess Rate60.5Unverified
7SuperDiMPSuccess Rate60.2Unverified
8TrDiMPSuccess Rate60.1Unverified
9KeepTrackSuccess Rate59.6Unverified
10AiATrackSuccess Rate59Unverified
#ModelMetricClaimedVerifiedStatus
1HR-MonTrack-BaseSuccess Rate68.5Unverified
2HR-MonTrack-TinySuccess Rate66.3Unverified
3Multi-modalSuccess Rate63.4Unverified
4PrDiMPSuccess Rate59Unverified
5DiMPSuccess Rate57.1Unverified
6MonTrackSuccess Rate54.9Unverified
7ATOMSuccess Rate46.5Unverified
8KYSSuccess Rate26.6Unverified
#ModelMetricClaimedVerifiedStatus
1OmniTrackHOTA23.45Unverified
2DeepSORTHOTA21.16Unverified
3OC-SORTHOTA20.83Unverified
4ByteTrackHOTA20.66Unverified
5TrackFormerHOTA19.62Unverified
6HybridSORTHOTA16.64Unverified
7DiffMOTHOTA16.4Unverified
8Bot-SORTHOTA15.77Unverified
#ModelMetricClaimedVerifiedStatus
1DiMP50Success Rate67.33Unverified
2PrDiMP50Success Rate67Unverified
3PrDiMP18Success Rate65.9Unverified
4DiMP18Success Rate64.6Unverified
5AtomSuccess Rate63.8Unverified
#ModelMetricClaimedVerifiedStatus
1finalHumans0.14Unverified
2night_furyHumans0.05Unverified
3Yolo based methodHumans0.02Unverified
4finalHumans0Unverified
#ModelMetricClaimedVerifiedStatus
1M2-Trackmean precision83.4Unverified
2BATmean precision75.2Unverified
#ModelMetricClaimedVerifiedStatus
1UMMT3DMOTA95Unverified
2MMPTRACK3DMOTA94.8Unverified
#ModelMetricClaimedVerifiedStatus
1Siam-FCAverage IOU0.66Unverified
#ModelMetricClaimedVerifiedStatus
1RT-MDNetPrecision Plot0.63Unverified