Oleg Seredin

Segmentation of Microscopic Images of Pseudomonas Biofilms Using Deep Learning and Semantic Filtering

V. S. Pavlova, Mikhail Yu. Kurbakov, Andrey Kopylov, Oleg Seredin

Abstract This paper presents a method for multiclass segmentation of microscopic images of bacterial biofilms using deep learning. A comprehensive approach is proposed that includes overlapping patch-based processing, a procedure for fusing local predictions in overlapping regions, and semantic filtering of segmentation …

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Automated Control of Rehabilitation Process in Physical Therapy Using a Novel Human Skeleton-Based Balanced Time Warping Algorithm

Oleg Seredin, Andrey Kopylov, Egor E. Surkov, Nikita Mityugov et autres

Physical therapy is a critical component of medical rehabilitation, aiding recovery from conditions such as stroke, spinal cord injuries, and musculoskeletal disorders. Effective rehabilitation requires precise monitoring of patient performance to ensure exercises are executed correctly and progress is accurately assessed. This …

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Skeletons distance evaluation for automated control of exercises in physical therapy

Parama Bagchi, Oleg Seredin, Andrey Kopylov, Egor E. Surkov et autres

Abstract. The paper focuses on developing a method for evaluating the similarity between skeletal models of an instructor and a patient during physical therapy exercises. Unlike general-purpose measures, our approach considers the specific characteristics of therapeutic exercises, including initial positioning, predominant movements, …

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Human Action Recognition Based on The Skeletal Pairwise Dissimilarity

Egor E. Surkov, Oleg Seredin, Andrey Kopylov

The main idea of the paper is to apply the principles of featureless pattern recognition to human activity recognition problem. The article presents the human figure representing approach based on pairwise dissimilarity function of skeletal models and a set of reference objects, …

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Interpretable graph methods for determining nanoparticles ordering in electron microscopy image

Mikhail Yu. Kurbakov, Valentina V. Sulimova, Oleg Seredin, Andrey Kopylov

An important step in determining the properties of carbon materials is the analysis of images from a scanning electron microscope (SEM). These images show the material surface after the application of metal nanoparticles. The order of these nanoparticles is a key characteristic …

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Rotation Profile-Based Binary Shape Descriptor

Oleg Seredin, Nikita Lomov, Daniil Liakhov, Nikita Mityugov et autres

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Skeleton-Based Bilateral Symmetry: Theoretical Concepts and Detection via Dynamic Programming

Nikita Lomov, Oleg Seredin, Olesia Kushnir

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Standardizing Skeletal Models for Fall Detection

Egor E. Surkov, Oleg Seredin, Andrey Kopylov, Olesia Kushnir et autres

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Unifying Human Pose Estimation in the Fall Detection Problem

Egor E. Surkov, Oleg Seredin, Andrey Kopylov, Olesia Kushnir

Abstract The skeleton model is extensively used to represent the human body in action recognition systems. Currently, numerous software and hardware solutions are available for building various skeletal models. The most well-known include Microsoft Kinect, Intel RealSense with Cubemos SDK (3D skeletal …

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Harmonic Averaging in Classifier Quality Assessment

Oleg Seredin, Andrey Kopylov

Abstract The paper investigates quality measures of classifiers constructed on the basis of harmonic averaging. For a two-class (binary) classification, the measure P4 is considered, which, in turn, is the harmonic mean of the precision and recall values for the cases where …

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Detection and localization methods of film resistive elements for laser adjustment of their parameters, review

Владимир В. Кондрашов, Oleg Seredin, Andrey Kopylov

Laser trimming (normalization) of film resistive elements (REs) by making adjustments to their configuration is one of the most frequently used and promising methods for tuning electrical parameters of circuits in microelectronics. Given that the geometric sizes of REs and the diameter …

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Detection and localization methods of film resistive elements for laser adjustment of their parameters, review

Владимир В. Кондрашов, Oleg Seredin, Андрей В. Копылов

Лазерная подгонка (нормирование) плёночных резистивных элементов (РЭ) путём изменения их конфигурации является одним из наиболее часто используемых и перспективных методов настройки электрических параметров схем в микроэлектронике. Ключевым моментом в подгонке РЭ является точное детектирование и прецизионное определение положения РЭ и дефектов на …