ReIDTracker Sea: the technical report of BoaTrack and SeaDronesSee-MOT challenge at MaCVi of WACV24

• DOI: 10.48550/arxiv.2311.07616
• Publication Date: 2023-01-01
• Authors: Kaer Huang; Weitu Chong
• Keywords: Tracking (education); Tracking system; Representation

Multi-Object Tracking is one of the most important technologies in maritime computer vision. Our solution tries to explore Unmanned Aerial vehicles (UAVs) and Surface Vehicles (USVs) usage scenarios. Most current algorithms require complex association strategies information (2D location motion, 3D depth, 2D appearance) achieve better performance, which makes entire tracking system extremely heavy. At same time, still video annotation data costly obtain for training. a completely unsupervised way. The scheme accomplishes instance representation learning by using self-supervision on ImageNet. Then, cooperating with high-quality detectors, multi-target task can be completed simply efficiently. achieved top 3 performance both UAV-based Reidentification USV-based benchmarks won championship many multiple competitions. such as BDD100K MOT,MOTS, Waymo MOT