Название: Computer Vision in Control Systems-6: Advances in Practical ApplicationsАвтор: Margarita N. Favorskaya, Lakhmi C Jain
Издательство: Springer
Год: 2020
Страниц: 183
Язык: английский
Формат: pdf (true)
Размер: 10.1 MB
This book attempts to improve algorithms by novel theories and complex data analysis in different scopes including object detection, remote sensing, data transmission, data fusion, gesture recognition, and edical image processing and analysis. The book is directed to the Ph.D. students, professors, researchers, and software developers working in the areas of digital video processing and computer vision technologies.
The study and preservation of biodiversity and regulation of the impact of human activity on ecosystems involves the analysis of big data, which cannot be implemented without intelligent software tools. Workflow of typical camera trap data management system includes three distinct stages: file management, data annotation, and data extraction. Analysis that follows data extraction is specific to a study and can be conducted by specialists. However, software system can prepare data for the analysis in automated ways. Since uneven illumination has a great influence on the background model formation and visual understanding of images, the modified Multi-Scale Retinex (MSR) algorithm, which utilizes wavelet transform to speed up the calculations, was used. In order to automate annotation, modules for automatic image importing with metadata extraction, semi-automatic background model formation module, and sematic builder, which utilizes CNNs data, are introduced. The convolutional neural network training module, which allows to extend dataset by augmentations, is also included in system.
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