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A ByteTrack Based Lightweight Tracking-by-Detection Method for Stable Maritime Multi-Object Tracking

https://doi.org/10.2139/ssrn.6981458
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Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/978-3-030-58548-8_28openalex-snapshot
Tracking Objects as Points
inferredcites →https://doi.org/10.1007/s11263-021-01513-4openalex-snapshot
FairMOT: On the Fairness of Detection and Re-identification in Multiple Object Tracking
inferredcites →https://doi.org/10.1016/j.oceaneng.2024.118560openalex-snapshot
A robust method for multi object tracking in autonomous ship navigation systems
inferredcites →https://doi.org/10.1049/ipr2.12959openalex-snapshot
A review of intelligent ship marine object detection based on RGB camera
inferredcites →https://doi.org/10.1109/access.2021.3101988openalex-snapshot
Siamese Visual Object Tracking: A Survey
inferredcites →https://doi.org/10.1109/access.2024.3376441openalex-snapshot
A Comprehensive Survey of Convolutions in Deep Learning: Applications, Challenges, and Future Trends
inferredcites →https://doi.org/10.1109/jsen.2024.3455572openalex-snapshot
MOMT: A Maritime Real-Time Visual Multiobject Tracking Algorithm Based on Unmanned Surface Vehicles
inferredcites →https://doi.org/10.1109/tcsvt.2020.3009717openalex-snapshot
A Survey of Multiple Pedestrian Tracking Based on Tracking-by-Detection Framework
inferredcites →https://doi.org/10.1109/tits.2020.3023957openalex-snapshot
Sensors and AI Techniques for Situational Awareness in Autonomous Ships: A Review
inferredcites →https://doi.org/10.1109/tmm.2023.3240881openalex-snapshot
StrongSORT: Make DeepSORT Great Again
inferredcites →https://doi.org/10.1117/12.3031500openalex-snapshot
On the use of appearance features for multiple object tracking in a maritime scenario
inferredcites →https://doi.org/10.1609/aaai.v34i07.6999openalex-snapshot
Distance-IoU Loss: Faster and Better Learning for Bounding Box Regression
inferredcites →https://doi.org/10.1609/aaai.v38i6.28386openalex-snapshot
SMILEtrack: SiMIlarity LEarning for Occlusion-Aware Multiple Object Tracking
inferredcites →https://doi.org/10.1609/aaai.v38i7.28493openalex-snapshot
UCMCTrack: Multi-Object Tracking with Uniform Camera Motion Compensation
inferredcites →https://doi.org/10.32604/cmc.2023.039929openalex-snapshot
Ship Detection and Recognition Based on Improved YOLOv7
inferredcites →https://doi.org/10.3389/fnbot.2023.1170163openalex-snapshot
ST-YOLOA: a Swin-transformer-based YOLO model with an attention mechanism for SAR ship detection under complex background
inferredcites →https://doi.org/10.3390/a15120473openalex-snapshot
Improved Ship Detection Algorithm from Satellite Images Using YOLOv7 and Graph Neural Network
inferredcites →https://doi.org/10.3390/jmse12010190openalex-snapshot
YOLOv7-Ship: A Lightweight Algorithm for Ship Object Detection in Complex Marine Environments
inferredcites →https://doi.org/10.3390/jmse12030379openalex-snapshot
Detection Technique Tailored for Small Targets on Water Surfaces in Unmanned Vessel Scenarios
inferredcites →https://doi.org/10.3390/jmse12112038openalex-snapshot
Object Detection and Tracking in Maritime Environments in Case of Person-Overboard Scenarios: An Overview
inferredcites →https://doi.org/10.3390/s25072179openalex-snapshot
Surface Vessels Detection and Tracking Method and Datasets with Multi-Source Data Fusion in Real-World Complex Scenarios
inferredcites →https://doi.org/10.3390/sci7020047openalex-snapshot
A Comparative Study of YOLO, SSD, Faster R-CNN, and More for Optimized Eye-Gaze Writing
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