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 701–750 of 1966 papers

TitleStatusHype
Manipulating a Tetris-Inspired 3D Video Representation—0
Deep Learning-Based Robust Multi-Object Tracking via Fusion of mmWave Radar and Camera Sensors—0
GeoWATCH for Detecting Heavy Construction in Heterogeneous Time Series of Satellite Images—0
Addressing single object tracking in satellite imagery through prompt-engineered solutions—0
FeatureSORT: Essential Features for Effective Tracking—0
SSP-GNN: Learning to Track via Bilevel Optimization—0
TF-SASM: Training-free Spatial-aware Sparse Memory for Multi-object TrackingCode0
Attention Normalization Impacts Cardinality Generalization in Slot AttentionCode0
TrackPGD: Efficient Adversarial Attack using Object Binary Masks against Robust Transformer TrackersCode0
The Solution for the ICCV 2023 Perception Test Challenge 2023 -- Task 6 -- Grounded videoQA—0
FlowTrack: Point-level Flow Network for 3D Single Object Tracking—0
DroBoost: An Intelligent Score and Model Boosting Method for Drone Detection—0
Engineering an Efficient Object Tracker for Non-Linear Motion—0
Basketball-SORT: An Association Method for Complex Multi-object Occlusion Problems in Basketball Multi-object Tracking—0
StreamMOTP: Streaming and Unified Framework for Joint 3D Multi-Object Tracking and Trajectory Prediction—0
PoliFormer: Scaling On-Policy RL with Transformers Results in Masterful Navigators—0
eMoE-Tracker: Environmental MoE-based Transformer for Robust Event-guided Object Tracking—0
The Progression of Transformers from Language to Vision to MOT: A Literature Review on Multi-Object Tracking with Transformers—0
POPCat: Propagation of particles for complex annotation tasks—0
LU2Net: A Lightweight Network for Real-time Underwater Image Enhancement—0
Hierarchical IoU Tracking based on IntervalCode0
Deep HM-SORT: Enhancing Multi-Object Tracking in Sports with Deep Features, Harmonic Mean, and Expansion IOU—0
Overlap Suppression Clustering for Offline Multi-Camera People Tracking—0
Online Multi-camera People Tracking with Spatial-temporal Mechanism and Anchor-feature Hierarchical ClusteringCode0
An Online Approach and Evaluation Method for Tracking People Across Cameras in Extremely Long Video Sequence—0
Robust compressive tracking via online weighted multiple instance learning—0
Introducing HOT3D: An Egocentric Dataset for 3D Hand and Object Tracking—0
Vessel Re-identification and Activity Detection in Thermal Domain for Maritime Surveillance—0
Watching Swarm Dynamics from Above: A Framework for Advanced Object Tracking in Drone Videos—0
Haptic Repurposing with GenAI—0
SlowPerception: Physical-World Latency Attack against Visual Perception in Autonomous Driving—0
ControlLoc: Physical-World Hijacking Attack on Visual Perception in Autonomous Driving—0
ActionReasoningBench: Reasoning about Actions with and without Ramification Constraints—0
S2-Track: A Simple yet Strong Approach for End-to-End 3D Multi-Object Tracking—0
Reproducibility Study on Adversarial Attacks Against Robust Transformer TrackersCode0
Multi-Object Tracking based on Imaging Radar 3D Object Detection—0
Convolutional Unscented Kalman Filter for Multi-Object Tracking with Outliers—0
Prototypical Transformer as Unified Motion Learners—0
WebUOT-1M: Advancing Deep Underwater Object Tracking with A Million-Scale Benchmark—0
DGD: Dynamic 3D Gaussians Distillation—0
Reliable Object Tracking by Multimodal Hybrid Feature Extraction and Transformer-Based FusionCode0
Tracking Small Birds by Detection Candidate Region Filtering and Detection History-aware Association—0
BaboonLand Dataset: Tracking Primates in the Wild and Automating Behaviour Recognition from Drone Videos—0
An Approximate Dynamic Programming Framework for Occlusion-Robust Multi-Object Tracking—0
ETTrack: Enhanced Temporal Motion Predictor for Multi-Object Tracking—0
Enhanced Object Tracking by Self-Supervised Auxiliary Depth Estimation Learning—0
Multi Player Tracking in Ice Hockey with Homographic Projections—0
DTLLM-VLT: Diverse Text Generation for Visual Language Tracking Based on LLM—0
RobMOT: Robust 3D Multi-Object Tracking by Observational Noise and State Estimation Drift Mitigation on LiDAR PointCloudCode0
Track Anything Rapter(TAR)Code0
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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