CVUEM (Computer Vision for Underwater Monitoring) a Technical Committee affiliated with IAPR (International Association for Pattern Recognition) and focuses on the development of computer vision and image processing techniques for applications in environmental underwater monitoring. Environmental monitoring encompasses a wide range of activities and tasks, such as:
habitat mapping
species identification
estimation of species diversity and abundance
analysis of animal behaviour
CVUEM runs the Computer Vision for Analysis of Underwater Imagery (CVAUI) IAPR workshop series and is also closely involved in other workshops such as the Marine Imaging Workshop (MIW).
We encourage all interested people to join and participate to our newly created Linkedin Group!
underwater image enhancement
physical models of reflectance and light transport
underwater scene understanding
classification, detection, and segmentation of underwater stationary and moving objects
autonomous underwater navigation
detection and monitoring of marine and freshwater life
detection of invasive species in marine and freshwater environments
automatic assessment of biodiversity and species abundance from visual data
tracking of underwater moving objects
automatic video annotation and summarization
context-aware machine learning and image understanding
fusion of optical imaging and passive acoustics