Search Results - "Bohush, R."

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  1. 1

    An effective algorithm to detect both smoke and flame using color and wavelet analysis by Ye, Shiping, Bai, Zhican, Chen, Huafeng, Bohush, R., Ablameyko, S.

    “…Fire detection is an important task in many applications. Smoke and flame are two essential symbols of fire in images. In this paper, we propose an algorithm…”
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    Journal Article
  2. 2

    Choice of Activation Function in Convolutional Neural Networks for Person Re-Identification in Video Surveillance Systems by Chen, H., Ihnatsyeva, S., Bohush, R., Ablameyko, S.

    Published in Programming and computer software (01-10-2022)
    “…In this paper, we improve the accuracy of person re-identification in images obtained from distributed video surveillance systems by choosing activation…”
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    Journal Article
  3. 3

    Person Re-identification in Video Surveillance Systems Using Deep Learning: Analysis of the Existing Methods by Chen, H., Ihnatsyeva, S. A., Bohush, R. P., Ablameyko, S. V.

    Published in Automation and remote control (01-05-2023)
    “…This paper is devoted to a multifaceted analysis of person re-identification (ReID) in video surveillance systems and modern solution methods using deep…”
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    Journal Article
  4. 4

    Person Tracking and Reidentification for Multicamera Indoor Video Surveillance Systems by Ye, S., Bohush, R. P., Chen, H., Zakharava, I. Yu, Ablameyko, S. V.

    Published in Pattern recognition and image analysis (01-10-2020)
    “…For practical use, the relevance of indoor surveillance from multiple cameras to track the movement of people and reidentify them in video sequences is…”
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    Journal Article
  5. 5

    Detection of Appearance and Behavior Anomalies in Stationary Camera Videos Using Convolutional Neural Networks by Chen, H., Bohush, R., Kurnosov, I., Ma, G., Weichen, Y., Ablameyko, S.

    Published in Pattern recognition and image analysis (01-06-2022)
    “…The automatic detection and tracking of appearance and behavior anomalies in video surveillance systems is one of the promising areas for the development and…”
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    Journal Article
  6. 6

    Estimation of People Movement in Video Based on Optical Flow Block Method and Motion Maps by Chen, H., Bohush, R. P., Chen, Ch, Ablameyko, S. V.

    Published in Pattern recognition and image analysis (01-04-2021)
    “…An algorithm for detecting and tracking moving people on video sequences using the block optical flow method and motion maps is proposed. To reduce time…”
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    Journal Article
  7. 7

    Tracking People in Video Using Neural Network Features and Facial Identification Taking into Account the Mask Mode by Shiping Ye, Kurnosov, I. L., Bohush, R. P., Ma, Guangdi, Weichen, Yang, Ablameyko, S. V.

    Published in Pattern recognition and image analysis (01-06-2023)
    “…Detection and tracking of people in video in distributed video surveillance systems is a difficult task, which has become even more complicated in the…”
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    Journal Article
  8. 8

    Image Similarity Estimation Based on Ratio and Distance Calculation between Features by Bohush, R. P., Ablameyko, S. V., Adamovskiy, E. R., Savca, D.

    Published in Pattern recognition and image analysis (01-04-2020)
    “…Some similarity functions for comparing the features of objects in the processing of static images and video sequences are proposed. These functions provide…”
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    Journal Article
  9. 9

    Video-Based Content Recognition of Bank Cards with Mobile Devices by Chen, H., Ye, S., Kurilovich, A., Bohush, R., Ablameyko, S.

    Published in Programming and computer software (01-11-2020)
    “…In this paper, we propose an algorithm for detection and recognition of all information fields at the bank card front side based on video sequences. The…”
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    Journal Article
  10. 10

    Detection and Classification of Vehicles in Ultra-High Resolution Images Using Neural Networks by Chen, Ch, Мinald, А. А., Bohush, R. P., Ma, G., Weichen, Y., Аblameyko, S. V.

    Published in Journal of applied spectroscopy (01-05-2022)
    “…A deep neural network architecture is proposed based on integrating the convolutional neural network Faster R-CNN with the Feature Pyramid Network module…”
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    Journal Article
  11. 11

    Person re-identification algorithm by image from video surveilance sistem using a neural network compound descriptor by S. A. Ihnatsyeva, R. P. Bohush

    “…For people re-identification in distributed video surveillance systems, it is important to have an algorithm that ensures efficiency when a person is blocked…”
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    Journal Article
  12. 12

    Classification algorithm of parking space images based on a histogram of oriented gradients and support vector machines by Yarashevich, P., Bohush, R.

    Published in Kompʹûternaâ optika (2017)
    “…In this paper, a classification algorithm of parking space images is proposed to improve the accuracy of parking space classification, which can be used in…”
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    Journal Article
  13. 13

    Object detection and tracking in video sequences: formalization, metrics and results by Bohush, R. P., Ablameyko, S. V.

    Published in Informatika (Minsk, Belarus) (29-03-2021)
    “…One of the promising areas of development and implementation of artificial intelligence is the automatic detection and tracking of moving objects in video…”
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    Journal Article
  14. 14

    Processing and analysis of images of microstructure metals for determining the grain point by Bohush, R. P., Adamousky, Y. R., Denisenak, S. F.

    “…An algorithmic support for metallographic images preprocessing and analysis is presented. The software product implements metallographic methods for the grain…”
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    Journal Article
  15. 15

    Object detection in high resolution images based on multiscale and block processing by Bohush, R. P., Zakharava, I. Yu, Ablameyko, S. V.

    Published in Informatika (Minsk, Belarus) (26-06-2020)
    “…In the paper the algorithm for object detection in high resolution images is proposed. The approach uses multiscale image representation followed by block…”
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    Journal Article
  16. 16

    Training Sample Formation for Convolution Neural Networks to Person Re-Identification from Video by Ihnatsyeva, S. A., Bohush, R. P.

    “…To improve the person re-identification system accuracy, an integrated approach is proposed in the formation of a training sample for convolutional neural…”
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    Journal Article
  17. 17

    Improving person re-identification based on two-stage training of convolutional neural networks and augmentation by Ihnatsyeva, S. A., Bohush, R. P.

    Published in Informatika (Minsk, Belarus) (29-03-2023)
    “…Objectives. The main goal is to improve person re-identification accuracy in distributed video surveillance systems. Methods. Machine learning methods are…”
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    Journal Article
  18. 18

    Person tracking algorithm based on convolutional neural network for indoor video surveillance by Bohush, R., Zakharava, I.

    Published in Kompʹûternaâ optika (01-02-2020)
    “…In this paper, a person tracking algorithm for indoor video surveillance is presented. The algorithm contains the following steps: person detection, person…”
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    Journal Article
  19. 19

    Data Augmentation and Fine Tuning of Convolutional Neural Network during Training for Person Re-Identification in Video Surveillance Systems by Ye, S., Bohush, R., Chen, H., Ihnatsyeva, S., Ablameyko, S. V.

    Published in Optical memory & neural networks (01-12-2023)
    “…A new image set, augmentation method and fine in-learning adjustment of convolutional neural networks (CNN) are proposed to increase the accuracy of CNN-based…”
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    Journal Article
  20. 20

    ALGORITHM FOR complex SMOKE AND FLAME detection based on video surveillance systems data analysis by R. P. Bohush, D. A. Tychko

    “…An algorithm to detect the main signs of fire for video surveillance systems, which allows the detection of smoke, open flames, and their combination on…”
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    Journal Article