Implementation and evaluation of the effectiveness of dynamic object detection tools for multithreaded and distributed processing of graphical data
Year: 2023
Type: article
Abstract: Modern monitoring and operational decision-making systems based on image series have become widely used for a wide variety of applications. At the stage of identification of graphic objects, it is established that the found dynamic object belongs to the class of objects of interest based on a comparative analysis of its contours with a given template. The article is the final in a series of articles devoted to theoretical, algorithmic and software components of the video analytics system. The description of the structural components of the video analytics system, the features of the implementation of the dynamic object detection module on video sequences, and the evaluation of the efficiency of the system is presented.
DOI: 10.59035/cmxq2840
Institutions: Voronezh State Technical University, Vladimir State University, Moscow University of the Ministry of Internal Affairs of Russia, Ufa State Petroleum Technological University, Admiral Ushakov State Maritime University, Kuban State Agrarian University, Petersburg State Transport University
Language: English
Subfield: Computer Vision and Pattern Recognition
Field: Computer Science
Domain: Physical Sciences
Open Access status: bronze
OpenAlex ID: W4323923690