Detection of human body parts on the image using the neural networks and the attention model
Human body parts detection is a challenging task, which has a lot of applications. In this paper, we propose an algorithm to detect human body parts on images using the OpenPose neural network and the attention model. The novelty of the proposed algorithm is that it is based on a convolutional neura...
| Main Authors: | , |
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| Format: | Article |
| Language: | Belarusian |
| Published: |
Belarusian State University
2022-08-01
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| Series: | Журнал Белорусского государственного университета: Математика, информатика |
| Subjects: | |
| Online Access: | https://journals.bsu.by/index.php/mathematics/article/view/4518 |
| _version_ | 1817996344103534592 |
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| author | Viktoria V. Sorokina Sergey V. Ablameyko |
| author_facet | Viktoria V. Sorokina Sergey V. Ablameyko |
| author_sort | Viktoria V. Sorokina |
| collection | DOAJ |
| description | Human body parts detection is a challenging task, which has a lot of applications. In this paper, we propose an algorithm to detect human body parts on images using the OpenPose neural network and the attention model. The novelty of the proposed algorithm is that it is based on a convolutional neural network that uses non-parametric representation to associate the body parts with people in an image in combination with the attention model that learns to focus on specific regions of the input image. The algorithm is part of the Smart Cropping system developed by the authors with the aim to cut necessary pieces of clothing in images and prepare e-commerce catalogues. |
| first_indexed | 2024-04-14T02:21:02Z |
| format | Article |
| id | doaj.art-6e015e199d784d60abd0aa9b029a4a25 |
| institution | Directory Open Access Journal |
| issn | 2520-6508 2617-3956 |
| language | Belarusian |
| last_indexed | 2024-04-14T02:21:02Z |
| publishDate | 2022-08-01 |
| publisher | Belarusian State University |
| record_format | Article |
| series | Журнал Белорусского государственного университета: Математика, информатика |
| spelling | doaj.art-6e015e199d784d60abd0aa9b029a4a252022-12-22T02:18:01ZbelBelarusian State UniversityЖурнал Белорусского государственного университета: Математика, информатика2520-65082617-39562022-08-0129410610.33581/2520-6508-2022-2-94-1064518Detection of human body parts on the image using the neural networks and the attention modelViktoria V. Sorokina0Sergey V. Ablameyko1Belarusian State University, 4 Niezaliežnasci Avenue, Minsk 220030, BelarusBelarusian State University, 4 Niezaliežnasci Avenue, Minsk 220030, Belarus; United Institute of Informatics Problems, National Academy of Sciences of Belarus, 6 Surhanava Street, Minsk 220012, BelarusHuman body parts detection is a challenging task, which has a lot of applications. In this paper, we propose an algorithm to detect human body parts on images using the OpenPose neural network and the attention model. The novelty of the proposed algorithm is that it is based on a convolutional neural network that uses non-parametric representation to associate the body parts with people in an image in combination with the attention model that learns to focus on specific regions of the input image. The algorithm is part of the Smart Cropping system developed by the authors with the aim to cut necessary pieces of clothing in images and prepare e-commerce catalogues.https://journals.bsu.by/index.php/mathematics/article/view/4518human body parts detectionattention modelconvolutional neural networksmart cropping |
| spellingShingle | Viktoria V. Sorokina Sergey V. Ablameyko Detection of human body parts on the image using the neural networks and the attention model Журнал Белорусского государственного университета: Математика, информатика human body parts detection attention model convolutional neural network smart cropping |
| title | Detection of human body parts on the image using the neural networks and the attention model |
| title_full | Detection of human body parts on the image using the neural networks and the attention model |
| title_fullStr | Detection of human body parts on the image using the neural networks and the attention model |
| title_full_unstemmed | Detection of human body parts on the image using the neural networks and the attention model |
| title_short | Detection of human body parts on the image using the neural networks and the attention model |
| title_sort | detection of human body parts on the image using the neural networks and the attention model |
| topic | human body parts detection attention model convolutional neural network smart cropping |
| url | https://journals.bsu.by/index.php/mathematics/article/view/4518 |
| work_keys_str_mv | AT viktoriavsorokina detectionofhumanbodypartsontheimageusingtheneuralnetworksandtheattentionmodel AT sergeyvablameyko detectionofhumanbodypartsontheimageusingtheneuralnetworksandtheattentionmodel |