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 10511100 of 1966 papers

TitleStatusHype
Multiple Hypothesis Hypergraph Tracking for Posture Identification in Embryonic Caenorhabditis elegansCode0
Self-Supervised Multi-Object Tracking with Cross-Input ConsistencyCode1
Towards Active Vision for Action Localization with Reactive Control and Predictive LearningCode1
3D Siamese Voxel-to-BEV Tracker for Sparse Point CloudsCode1
Cross-Modal Object Tracking: Modality-Aware Representations and A Unified Benchmark0
Survey of Deep Learning Methods for Inverse Problems0
Distributed Extended Object Tracking Information Filter Over Sensor Networks0
PolyTrack: Tracking with Bounding PolygonsCode1
Real-time multiview data fusion for object tracking with RGBD sensors0
3D Object Tracking with TransformerCode1
Explicitly Modeling the Discriminability for Instance-Aware Visual Object Tracking0
A time-weighted metric for sets of trajectories to assess multi-object tracking algorithmsCode0
SRT3D: A Sparse Region-Based 3D Object Tracking Approach for the Real WorldCode1
Deep Learning for UAV-based Object Detection and Tracking: A Survey0
Event Data Association via Robust Model Fitting for Event-based Object Tracking0
Depth-only Object Tracking0
Multi-Object Tracking and Segmentation with a Space-Time Memory Network0
Evaluating and Improving Interactions with Hazy Oracles0
HM-Net: A Regression Network for Object Center Detection and Tracking on Wide Area Motion ImageryCode0
Siamese Transformer Pyramid Networks for Real-Time UAV TrackingCode1
Pyramid Correlation based Deep Hough Voting for Visual Object Tracking0
DG-Labeler and DGL-MOTS Dataset: Boost the Autonomous Driving Perception0
ByteTrack: Multi-Object Tracking by Associating Every Detection BoxCode1
Multiple Object Trackers in OpenCV: A BenchmarkCode0
Synthesizing Video Trajectory Queries0
An End-to-End Trainable Video Panoptic Segmentation Method usingTransformers0
Player Tracking and Identification in Ice Hockey0
Multi-Object Tracking with Deep Learning Ensemble for Unmanned Aerial System Applications0
UHP-SOT: An Unsupervised High-Performance Single Object Tracker0
The Challenge of Appearance-Free Object Tracking with Feedforward Neural Networks0
Conjugation Invariant Learning with Neural Networks0
SiamEvent: Event-based Object Tracking via Edge-aware Similarity Learning with Siamese NetworksCode0
Vehicle Detection and Tracking From Surveillance Cameras in Urban Scenes0
Incorporating Data Uncertainty in Object Tracking Algorithms0
Object Tracking by Jointly Exploiting Frame and Event DomainCode1
A Wide-area, Low-latency, and Power-efficient 6-DoF Pose Tracking System for Rigid Objects0
Identification of Driver Phone Usage Violations via State-of-the-Art Object Detection with TrackingCode0
Optimal Target Shape for LiDAR Pose EstimationCode1
Extended Object Tracking Using Sets Of Trajectories with a PHD Filter0
Is First Person Vision Challenging for Object Tracking?0
DepthTrack : Unveiling the Power of RGBD TrackingCode1
Robust Privacy-Preserving Motion Detection and Object Tracking in Encrypted Streaming Video0
Deep Reinforcement Learning in Computer Vision: A Comprehensive Survey0
Cell Multi-Bernoulli (Cell-MB) Sensor Control for Multi-object Search-While-Tracking (SWT)0
Joint Learning Architecture for Multiple Object Tracking and Trajectory ForecastingCode1
Making Higher Order MOT Scalable: An Efficient Approximate Solver for Lifted Disjoint PathsCode1
Exploring Simple 3D Multi-Object Tracking for Autonomous DrivingCode1
The 2nd Anti-UAV Workshop & Challenge: Methods and Results0
Multi-Object Tracking with Hallucinated and Unlabeled Videos0
PTT: Point-Track-Transformer Module for 3D Single Object Tracking in Point CloudsCode1
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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