Person re-identification algorithm by image from video surveilance sistem using a neural network compound descriptor
For people re-identification in distributed video surveillance systems, it is important to have an algorithm that ensures efficiency when a person is blocked by other people or objects. Therefore, for this task, an algorithm has been developed that involves the compound descriptor formation, which i...
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| Format: | Article |
| Language: | English |
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Belarusian National Technical University
2024-05-01
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| Series: | Системный анализ и прикладная информатика |
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| Online Access: | https://sapi.bntu.by/jour/article/view/654 |
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| author | S. A. Ihnatsyeva R. P. Bohush |
| author_facet | S. A. Ihnatsyeva R. P. Bohush |
| author_sort | S. A. Ihnatsyeva |
| collection | DOAJ |
| description | For people re-identification in distributed video surveillance systems, it is important to have an algorithm that ensures efficiency when a person is blocked by other people or objects. Therefore, for this task, an algorithm has been developed that involves the compound descriptor formation, which includes a global features vector of a person’s image and three local ones for its upper, middle and down parts. The regions of interest selection is carried out based on the detecting key points results in the image of the human body. If a person's image part is occluded by other people or objects, then it is classified as invisible. The hidden part person image is not used in the formation of the local feature. To obtain it, the average value of the k-nearest neighbors such features of a person’s image is calculated. The experiments performed indicate an increase in re-identification accuracy for the Market-1501, DukeMTMC-ReID, MSMT17 and PolReID1077 datasets. |
| format | Article |
| id | doaj-art-1573e318033146a1b7ccb5cade850805 |
| institution | Kabale University |
| issn | 2309-4923 2414-0481 |
| language | English |
| publishDate | 2024-05-01 |
| publisher | Belarusian National Technical University |
| record_format | Article |
| series | Системный анализ и прикладная информатика |
| spelling | doaj-art-1573e318033146a1b7ccb5cade8508052025-02-03T05:16:55ZengBelarusian National Technical UniversityСистемный анализ и прикладная информатика2309-49232414-04812024-05-0101121710.21122/2309-4923-2024-1-12-17480Person re-identification algorithm by image from video surveilance sistem using a neural network compound descriptorS. A. Ihnatsyeva0R. P. Bohush1Euphrosyne Polotskaya State University of PolotskEuphrosyne Polotskaya State University of PolotskFor people re-identification in distributed video surveillance systems, it is important to have an algorithm that ensures efficiency when a person is blocked by other people or objects. Therefore, for this task, an algorithm has been developed that involves the compound descriptor formation, which includes a global features vector of a person’s image and three local ones for its upper, middle and down parts. The regions of interest selection is carried out based on the detecting key points results in the image of the human body. If a person's image part is occluded by other people or objects, then it is classified as invisible. The hidden part person image is not used in the formation of the local feature. To obtain it, the average value of the k-nearest neighbors such features of a person’s image is calculated. The experiments performed indicate an increase in re-identification accuracy for the Market-1501, DukeMTMC-ReID, MSMT17 and PolReID1077 datasets.https://sapi.bntu.by/jour/article/view/654machine learningconvolutional neural networksfeature vectorpolreid1077data augmentation |
| spellingShingle | S. A. Ihnatsyeva R. P. Bohush Person re-identification algorithm by image from video surveilance sistem using a neural network compound descriptor Системный анализ и прикладная информатика machine learning convolutional neural networks feature vector polreid1077 data augmentation |
| title | Person re-identification algorithm by image from video surveilance sistem using a neural network compound descriptor |
| title_full | Person re-identification algorithm by image from video surveilance sistem using a neural network compound descriptor |
| title_fullStr | Person re-identification algorithm by image from video surveilance sistem using a neural network compound descriptor |
| title_full_unstemmed | Person re-identification algorithm by image from video surveilance sistem using a neural network compound descriptor |
| title_short | Person re-identification algorithm by image from video surveilance sistem using a neural network compound descriptor |
| title_sort | person re identification algorithm by image from video surveilance sistem using a neural network compound descriptor |
| topic | machine learning convolutional neural networks feature vector polreid1077 data augmentation |
| url | https://sapi.bntu.by/jour/article/view/654 |
| work_keys_str_mv | AT saihnatsyeva personreidentificationalgorithmbyimagefromvideosurveilancesistemusinganeuralnetworkcompounddescriptor AT rpbohush personreidentificationalgorithmbyimagefromvideosurveilancesistemusinganeuralnetworkcompounddescriptor |