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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 651–700 of 1966 papers

TitleStatusHype
Motion-guided small MAV detection in complex and non-planar scenes—0
VOVTrack: Exploring the Potentiality in Videos for Open-Vocabulary Object Tracking—0
Enhanced Kalman with Adaptive Appearance Motion SORT for Grounded Generic Multiple Object Tracking—0
VideoSAM: Open-World Video Segmentation—0
Efficient Multi-Object Tracking on Edge Devices via Reconstruction-Based Channel Pruning—0
Automated Retail Billing: Streamlining Checkout with QR Codes and Object Tracking Using YOLOv8 and DeepSORTCode0
DTVLT: A Multi-modal Diverse Text Benchmark for Visual Language Tracking Based on LLM—0
Samba: Synchronized Set-of-Sequences Modeling for Multiple Object Tracking—0
Tracking objects that change in appearance with phase synchrony—0
VETRA: A Dataset for Vehicle Tracking in Aerial Imagery - New Challenges for Multi-Object Tracking—0
An Overview of Multi-Object Estimation via Labeled Random Finite Set—0
BlinkTrack: Feature Tracking over 100 FPS via Events and Images—0
General Compression Framework for Efficient Transformer Object Tracking—0
CAMOT: Camera Angle-aware Multi-Object Tracking—0
Walker: Self-supervised Multiple Object Tracking by Walking on Temporal Appearance Graphs—0
Automated Surgical Skill Assessment in Endoscopic Pituitary Surgery using Real-time Instrument Tracking on a High-fidelity Bench-top Phantom—0
TrackNetV4: Enhancing Fast Sports Object Tracking with Motion Attention Maps—0
Masks and Boxes: Combining the Best of Both Worlds for Multi-Object Tracking—0
Tracking Virtual Meetings in the Wild: Re-identification in Multi-Participant Virtual Meetings—0
FACT: Feature Adaptive Continual-learning Tracker for Multiple Object Tracking—0
A Low-Computational Video Synopsis Framework with a Standard DatasetCode0
RCBEVDet++: Toward High-accuracy Radar-Camera Fusion 3D Perception Network—0
Gr-IoU: Ground-Intersection over Union for Robust Multi-Object Tracking with 3D Geometric Constraints—0
TP-GMOT: Tracking Generic Multiple Object by Textual Prompt with Motion-Appearance Cost (MAC) SORTCode0
YOLOO: You Only Learn from Others Once—0
Estimating Dynamic Flow Features in Groups of Tracked Objects—0
ConsistencyTrack: A Robust Multi-Object Tracker with a Generation Strategy of Consistency ModelCode0
Camouflaged Object Tracking: A BenchmarkCode0
Decentralised Variational Inference Frameworks for Multi-object Tracking on Sensor Networks: Additional Notes—0
MCTR: Multi Camera Tracking Transformer—0
BihoT: A Large-Scale Dataset and Benchmark for Hyperspectral Camouflaged Object Tracking—0
BankTweak: Adversarial Attack against Multi-Object Trackers by Manipulating Feature Banks—0
MambaTrack: A Simple Baseline for Multiple Object Tracking with State Space Model—0
GSLAMOT: A Tracklet and Query Graph-based Simultaneous Locating, Mapping, and Multiple Object Tracking System—0
RTAT: A Robust Two-stage Association Tracker for Multi-Object Tracking—0
Object Tracking Incorporating Transfer Learning into Unscented and Cubature Kalman Filters—0
VoxelTrack: Exploring Voxel Representation for 3D Point Cloud Object Tracking—0
3D Single-object Tracking in Point Clouds with High Temporal Variation—0
SiamMo: Siamese Motion-Centric 3D Object TrackingCode0
A Batch Update Using Multiplicative Noise Modelling for Extended Object Tracking—0
SharkTrack: an accurate, generalisable software for streamlining shark and ray underwater video analysis—0
MEVDT: Multi-Modal Event-Based Vehicle Detection and Tracking Dataset—0
Progressive Domain Adaptation for Thermal Infrared Object Tracking—0
Leveraging Foundation Models via Knowledge Distillation in Multi-Object Tracking: Distilling DINOv2 Features to FairMOTCode0
CORT: Class-Oriented Real-time Tracking for Embedded Systems—0
Temporal Correlation Meets Embedding: Towards a 2nd Generation of JDE-based Real-Time Multi-Object TrackingCode0
OCTrack: Benchmarking the Open-Corpus Multi-Object Tracking—0
Boosting Online 3D Multi-Object Tracking through Camera-Radar Cross Check—0
Strawberry detection and counting based on YOLOv7 pruning and information based tracking algorithm—0
Manipulating a Tetris-Inspired 3D Video Representation—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