Computer vision algorithms for object recognition in low visibility conditions
Abstract
Computer vision algorithms for object recognition in low visibility conditions
Incoming article date: 22.09.2024The work is devoted to the development and analysis of computer vision algorithms designed to recognize objects in conditions of limited visibility, such as fog, rain or poor lighting. In the context of modern requirements for safety and automation, the task of identifying objects becomes especially relevant. The theoretical foundations of computer vision methods and their application in difficult conditions are considered. An analysis of image processing algorithms is carried out, including machine learning and deep learning methods that are adapted to work in conditions of poor visibility. The results of experiments demonstrating the effectiveness of the proposed approaches are presented, as well as a comparison with existing recognition systems. The results of the study can be useful in the development of autonomous vehicles and video surveillance systems.
Keywords: computer vision, mathematical modeling, software package, machine learning methods, autonomous transport systems