Robust underwater object tracking with image enhancement and two-step feature compression
Abstract Developing a robust algorithm for underwater object tracking (UOT) is crucial to support the sustainable development and utilization of marine resources. In addition to open-air tracking challenges, the visual object tracking (VOT) task presents further difficulties in underwater environmen...
Saved in:
Main Authors: | Jiaqing Li, Chaocan Xue, Xuan Luo, Yubin Fu, Bin Lin |
---|---|
Format: | Article |
Language: | English |
Published: |
Springer
2025-01-01
|
Series: | Complex & Intelligent Systems |
Subjects: | |
Online Access: | https://doi.org/10.1007/s40747-024-01755-y |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Underwater Drones as a Low-Cost, yet Powerful Tool for Underwater Archaeological Mapping: Case Studies from the Mediterranean
by: Eleni Diamanti, et al.
Published: (2025-01-01) -
MUFFNet: lightweight dynamic underwater image enhancement network based on multi-scale frequency
by: Dechuan Kong, et al.
Published: (2025-02-01) -
Joint Optimization in Underwater Image Enhancement: A Training Framework Integrating Pixel-Level and Physical-Channel Techniques
by: Ozan Demir, et al.
Published: (2025-01-01) -
Cluster-driven non-uniform characteristic analysis of underwater target acoustic scattering field
by: Tianyang Xu, et al.
Published: (2025-02-01) -
Sous les vagues bleues, le paysage
by: Christophe Camus
Published: (2021-12-01)