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 16011650 of 1966 papers

TitleStatusHype
Watching Swarm Dynamics from Above: A Framework for Advanced Object Tracking in Drone Videos0
Weakly Supervised Multi-Object Tracking and Segmentation0
Weakly Supervised Realtime Dynamic Background Subtraction0
WebUOT-1M: Advancing Deep Underwater Object Tracking with A Million-Scale Benchmark0
Why Accuracy Is Not Enough: The Need for Consistency in Object Detection0
WildLive: Near Real-time Visual Wildlife Tracking onboard UAVs0
WILDTRACK: A Multi-Camera HD Dataset for Dense Unscripted Pedestrian Detection0
X Modality Assisting RGBT Object Tracking0
YOLOO: You Only Learn from Others Once0
Zero-Shot Open-Vocabulary Tracking with Large Pre-Trained Models0
Zero-Shot Video Question Answering with Procedural Programs0
Z-GMOT: Zero-shot Generic Multiple Object Tracking0
ZJU ReLER Submission for EPIC-KITCHEN Challenge 2023: TREK-150 Single Object Tracking0
Progressive Scaling Visual Object Tracking0
Progressive Unsupervised Learning for Visual Object Tracking0
Projecting Trackable Thermal Patterns for Dynamic Computer Vision0
Prototypical Transformer as Unified Motion Learners0
Pyramid Correlation based Deep Hough Voting for Visual Object Tracking0
QR-Tag: Angular Measurement and Tracking with a QR-Design Marker0
Quadruplet Network with One-Shot Learning for Fast Visual Object Tracking0
Quality Matters: Embracing Quality Clues for Robust 3D Multi-Object Tracking0
Radar Aided Proactive Blockage Prediction in Real-World Millimeter Wave Systems0
Radar-based Dynamic Occupancy Grid Mapping and Object Detection0
Rate-Adaptive Neural Networks for Spatial Multiplexers0
RATM: Recurrent Attentive Tracking Model0
RCBEVDet++: Toward High-accuracy Radar-Camera Fusion 3D Perception Network0
Reading Relevant Feature from Global Representation Memory for Visual Object Tracking0
Real-Time AI-Driven People Tracking and Counting Using Overhead Cameras0
Real-time Full-stack Traffic Scene Perception for Autonomous Driving with Roadside Cameras0
Real-time Joint Tracking of a Hand Manipulating an Object from RGB-D Input0
Real-time Multi-modal Object Detection and Tracking on Edge for Regulatory Compliance Monitoring0
Real-time Multi-Object Tracking Based on Bi-directional Matching0
Real-time multiview data fusion for object tracking with RGBD sensors0
Real Time Object Tracking Based on Inter-frame Coding: A Review0
Real-Time Object Tracking via Meta-Learning: Efficient Model Adaptation and One-Shot Channel Pruning0
Real-Time Part-Based Visual Tracking via Adaptive Correlation Filters0
Real-time Pedestrian Surveillance with Top View Cumulative Grids0
Real-time People Tracking and Identification from Sparse mm-Wave Radar Point-clouds0
Real-time Prediction of Automotive Collision Risk from Monocular Video0
Real-Time Vehicle Detection and Urban Traffic Behavior Analysis Based on UAV Traffic Videos on Mobile Devices0
Real-Time Visual Object Tracking via Few-Shot Learning0
Reasoning-Enhanced Object-Centric Learning for Videos0
Recent Advances in Embedding Methods for Multi-Object Tracking: A Survey0
Recent Advances of Generic Object Detection with Deep Learning: A Review0
Recurrent Autoregressive Networks for Online Multi-Object Tracking0
Refinements in Motion and Appearance for Online Multi-Object Tracking0
Regional Active Contours based on Variational level sets and Machine Learning for Image Segmentation0
ReIDTracker Sea: the technical report of BoaTrack and SeaDronesSee-MOT challenge at MaCVi of WACV240
ReIDTrack: Multi-Object Track and Segmentation Without Motion0
Relation3DMOT: Exploiting Deep Affinity for 3D Multi-Object Tracking from View Aggregation0
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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