CVEMP 2023
1st International Workshop on Computer Vision for Environment Monitoring and Preservation
Call For Papers
We are pleased to invite submissions to the workshop on ''Computer Vision for Environment Monitoring and Preservation" at the 22nd International Conference on Image Analysis and Processing (ICIAP 2023), to be held in Udine, Italy, from September 11-15, 2023.
The importance of environmental monitoring and preservation cannot be overstated. Our planet is facing a range of environmental challenges, including climate change, habitat destruction, pollution, and loss of biodiversity. These challenges threaten the health and well-being of humans and other living organisms, as well as the long-term sustainability of human societies.
In this context, the Computer Vision application is rapidly growing and transforming the way we interact with the world around us. By combining advanced image processing techniques, machine learning algorithms, and big data analysis, computer vision can be used to automate the process of monitoring and analyzing environmental data.
The use of Computer Vision for Environment Monitoring and Preservation has in fact become increasingly important in recent years due to the growing concern over the impact of human activities on the environment. Climate change, pollution, deforestation, and other environmental challenges require new solutions to protect and preserve the natural resources that support our planet.
By applying computer vision techniques to environmental monitoring, we can automate the process of collecting and analyzing data, providing real-time information on environmental changes and threats. Computer vision can also help to improve the efficiency and accuracy of environmental monitoring programs. By automating tasks such as species identification, pollutant detection, and land cover analysis, we can reduce the workload of human observers and increase the speed and accuracy of data collection. This information can then be used to inform policy decisions, improve resource management, and support conservation efforts.
In summary, by leveraging the power of computer vision, we can better understand the natural world and develop more effective strategies for protecting and preserving it.
This workshop aims to bring together experts and enthusiasts in the field of computer vision to discuss the current state of research, challenges, and opportunities in applying computer vision techniques for environmental monitoring and preservation. We encourage the submission of papers covering a wide range of topics, including but not limited to:
Remote sensing and satellite imagery analysis
Image and video analysis for wildlife conservation
Computer vision for air and water quality monitoring
Object detection and tracking for environmental applications
Image and video analysis for precision agriculture
Deep learning for environmental applications
Cultural Heritage documentation and preservation
Multi-modal data fusion for environmental monitoring
Image and video analysis for climate change
Classification/Detection of littering and pollution
Computer Vision techniques to aid precision agriculture.
We are glad to accept submissions in three possible formats: Regular, Extended abstract and Presentation papers, as discussed in details in the Paper Submission section.
Deadlines and other important dates can be found here: Important Dates
In collaboration with