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 51–100 of 1966 papers

TitleStatusHype
SonarT165: A Large-scale Benchmark and STFTrack Framework for Acoustic Object TrackingCode1
Adversarial Attack for RGB-Event based Visual Object TrackingCode0
Self-Supervised Pre-training with Combined Datasets for 3D Perception in Autonomous Driving—0
Robust Visual Servoing under Human Supervision for Assembly Tasks—0
WildLive: Near Real-time Visual Wildlife Tracking onboard UAVs—0
Intelligent driving vehicle front multi-target tracking and detection based on YOLOv5 and point cloud 3D projection—0
GLUS: Global-Local Reasoning Unified into A Single Large Language Model for Video SegmentationCode2
VideoChat-R1: Enhancing Spatio-Temporal Perception via Reinforcement Fine-TuningCode3
Multi-Object Tracking for Collision Avoidance Using Multiple Cameras in Open RAN Networks—0
SAM2MOT: A Novel Paradigm of Multi-Object Tracking by SegmentationCode2
Risk-Aware Robot Control in Dynamic Environments Using Belief Control Barrier FunctionsCode0
TQD-Track: Temporal Query Denoising for 3D Multi-Object Tracking—0
Attention-Aware Multi-View Pedestrian Tracking—0
Data-Driven Object Tracking: Integrating Modular Neural Networks into a Kalman Framework—0
Deep LG-Track: An Enhanced Localization-Confidence-Guided Multi-Object Tracker—0
COST: Contrastive One-Stage Transformer for Vision-Language Small Object TrackingCode0
Towards Mobile Sensing with Event Cameras on High-agility Resource-constrained Devices: A Survey—0
Hyperspectral Adapter for Object Tracking based on Hyperspectral Video—0
DynOPETs: A Versatile Benchmark for Dynamic Object Pose Estimation and Tracking in Moving Camera ScenariosCode1
TrackID3x3: A Dataset and Algorithm for Multi-Player Tracking with Identification and Pose Estimation in 3x3 Basketball Full-court VideosCode1
MUST: The First Dataset and Unified Framework for Multispectral UAV Single Object TrackingCode2
Dynamic Point Maps: A Versatile Representation for Dynamic 3D Reconstruction—0
OptiPMB: Enhancing 3D Multi-Object Tracking with Optimized Poisson Multi-Bernoulli Filtering—0
UncTrack: Reliable Visual Object Tracking with Uncertainty-Aware Prototype Memory NetworkCode1
History-Aware Transformation of ReID Features for Multiple Object TrackingCode1
ROS-SAM: High-Quality Interactive Segmentation for Remote Sensing Moving ObjectCode2
Cognitive Disentanglement for Referring Multi-Object Tracking—0
OVTR: End-to-End Open-Vocabulary Multiple Object Tracking with TransformerCode2
Target-aware Bidirectional Fusion Transformer for Aerial Object Tracking—0
3D Extended Object Tracking based on Extruded B-Spline Side View Profiles—0
How good are deep learning methods for automated road safety analysis using video data? An experimental study—0
TrackOcc: Camera-based 4D Panoptic Occupancy TrackingCode2
Just Functioning as a Hook for Two-Stage Referring Multi-Object Tracking—0
A Modular Pipeline for 3D Object Tracking Using RGB CamerasCode0
ReynoldsFlow: Exquisite Flow Estimation via Reynolds Transport TheoremCode0
Omnidirectional Multi-Object TrackingCode2
AI-Driven Relocation Tracking in Dynamic Kitchen EnvironmentsCode0
MITracker: Multi-View Integration for Visual Object Tracking—0
Spectral-Enhanced Transformers: Leveraging Large-Scale Pretrained Models for Hyperspectral Object Tracking—0
Easy-Poly: A Easy Polyhedral Framework For 3D Multi-Object Tracking—0
UASTrack: A Unified Adaptive Selection Framework with Modality-Customization in Single Object TrackingCode0
CRTrack: Low-Light Semi-Supervised Multi-object Tracking Based on Consistency RegularizationCode0
V-HOP: Visuo-Haptic 6D Object Pose Tracking—0
Benchmarking Online Object Trackers for Underwater Robot Position Locking Applications—0
MEX: Memory-efficient Approach to Referring Multi-Object Tracking—0
IMM-MOT: A Novel 3D Multi-object Tracking Framework with Interacting Multiple Model FilterCode0
Adaptive Perception for Unified Visual Multi-modal Object Tracking—0
Event Stream-based Visual Object Tracking: HDETrack V2 and A High-Definition BenchmarkCode2
OneTrack-M: A multitask approach to transformer-based MOT models—0
Rethinking Vision Transformer for Object Centric Foundation ModelsCode0
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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