The 2nd Workshop on Maritime Computer Vision (MaCVi) 2024

The 2nd Workshop on Maritime Computer Vision (MaCVi) 2024 addresses maritime computer vision for Unmanned Aerial Vehicles (UAV) and Unmanned Surface Vehicles (USV). Three challenges categories are considered: (i) UAV-based Maritime Object Tracking with Re-identification, (ii) USV-based Maritime Obst...

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Bibliographic Details
Published in:arXiv.org 2023-11
Main Authors: Kiefer, Benjamin, Žust, Lojze, Kristan, Matej, Perš, Janez, Teršek, Matija, Arnold Wiliem, Messmer, Martin, Cheng-Yen, Yang, Hsiang-Wei, Huang, Jiang, Zhongyu, Heng-Cheng, Kuo, Mei, Jie, Hwang, Jenq-Neng, Stadler, Daniel, Sommer, Lars, Huang, Kaer, Zheng, Aiguo, Chong, Weitu, Lertniphonphan, Kanokphan, Xie, Jun, Chen, Feng, Li, Jian, Wang, Zhepeng, Zedda, Luca, Loddo, Andrea, Cecilia Di Ruberto, Tuan-Anh Vu, Nguyen-Truong, Hai, Tan-Sang, Ha, Quan-Dung Pham, Sai-Kit Yeung, Yuan, Feng, Nguyen Thanh Thien, Tian, Lixin, Sheng-Yao Kuan, Yuan-Hao, Ho, Angel Bueno Rodriguez, Carrillo-Perez, Borja, Klein, Alexander, Alex, Antje, Steiniger, Yannik, Sattler, Felix, Solano-Carrillo, Edgardo, Fabijanić, Matej, Šumunec, Magdalena, Kapetanović, Nadir, Michel, Andreas, Gross, Wolfgang, Weinmann, Martin
Format: Article
Language:English
Subjects:
Autonomous underwater vehicles
Barriers
Computer vision
Embedded systems
Qualitative analysis
Segmentation
Surface vehicles
Tracking
Unmanned aerial vehicles
Unmanned vehicles
Workshops
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Summary:The 2nd Workshop on Maritime Computer Vision (MaCVi) 2024 addresses maritime computer vision for Unmanned Aerial Vehicles (UAV) and Unmanned Surface Vehicles (USV). Three challenges categories are considered: (i) UAV-based Maritime Object Tracking with Re-identification, (ii) USV-based Maritime Obstacle Segmentation and Detection, (iii) USV-based Maritime Boat Tracking. The USV-based Maritime Obstacle Segmentation and Detection features three sub-challenges, including a new embedded challenge addressing efficicent inference on real-world embedded devices. This report offers a comprehensive overview of the findings from the challenges. We provide both statistical and qualitative analyses, evaluating trends from over 195 submissions. All datasets, evaluation code, and the leaderboard are available to the public at https://macvi.org/workshop/macvi24.
ISSN:2331-8422