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An Open Source Framework for Underwater Image Processing

International Conference on Computer Vision 2017

On Sunday, October 22, VIAME will be part of a larger ICCV tutorial on wildlife survelillance, entitled “Open Source Software and Datasets for Wildlife Video Surveillance.” At the tutorial multiple speakers will showcase three major wildlife datasets, the existing analytics developed specifically for them, and the open source toolkits implementing these analytics. The importance of environmental monitoring will be front and center with talks on “Underwater Imagery and Video for Fisheries Stock Assessment,” “Underwater Visual Data for Coral Reef Fish Biodiversity Monitoring,” and “Identifying and Re-identifying Individual Animals for the Purpose of Population Assessment.”

Join Kitware and its partners for this tutorial to engage with international experts utilizing vision to improve environmental monitoring in terrestrial and marine domains. In the tutorial we will summarize a few of the datasets which VIAME is covering, in addition to an introduction of current capabilities and development plans.

VIAME


Video and Image Analytics for a Marine Environment In cooperation with NOAA’s Automated Image Analysis Strategic Initiative (AIASI), Kitware has developed VIAME, an open-source system for analysis of underwater video and imagery for fisheries stock assessment. VIAME will enable rapid, low-cost integration of new algorithmic modules, datasets and workflows.

GitHub Mark View Project on GitHub

 

Why VIAME?


  •  Modular Dataflow Architecture enables straightforward integration of a wide variety of third party analytics, libraries and tools.
  • Open Source basis fosters easy collaboration and transparent development for the widest possible community involvement.
  • Based on KWIVER, the Kitware Video and Image Exploitation and Retrieval toolkit, an open source framework for general video and image analytics based on Kitware’s years of experience developing analytics system for public and private customers.

 

 

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