An application of the correlation method for moving object identification using velocimeter data
The study investigates the applicability of the correlation method for the identification of moving objects using velocimetric seismic measurements in tasks of engineering monitoring and detection of transport-related events. In practical monitoring systems, seismic “portraits” of characteristic eve...
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Інститут проблем реєстрації інформації НАН України
2026
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| author | Манько, Д. Ю. Беляк, Є. В. Косяк, І. В. |
| author_facet | Манько, Д. Ю. Беляк, Є. В. Косяк, І. В. |
| author_sort | Манько, Д. Ю. |
| baseUrl_str | http://drsp.ipri.kiev.ua/oai |
| collection | OJS |
| datestamp_date | 2026-05-16T22:01:18Z |
| description | The study investigates the applicability of the correlation method for the identification of moving objects using velocimetric seismic measurements in tasks of engineering monitoring and detection of transport-related events. In practical monitoring systems, seismic “portraits” of characteristic events are often formed using displacement signals, whereas field measurements are commonly obtained from velocimeters that record ground velocity. This difference in physical representation may reduce the correlation agreement between the reference signal and measured data due to spectral distortions introduced by differentiation. The work analyzes the theoretical relationship between the cross-correlation functions of displacement and velocity signals under the assumptions of bounded and ergodic processes and demonstrates that correlation portraits can be consistently transferred between these signal representations when appropriate preprocessing is applied. A discrete procedure for constructing a “virtual velocimeter” using finite-difference differentiation is proposed, enabling the transformation of displacement signals into velocity form suitable for streaming data processing. On this basis, a correlation identification algorithm designed for continuous monitoring is developed. The algorithm implements a template-matching scheme in which a reference seismic portrait of a characteristic event is sequentially compared with fragments of the incoming data stream using normalized cross-correlation. Experimental verification was carried out using seismic records of freight train passages, which represent a typical example of technogenic vibration sources relevant for infrastructure monitoring. A reference seismic portrait of the train passage was extracted from measured data and used as a template to search for similar events in a long-duration seismic record. The experiments included two processing regimes: correlation analysis based on displacement signals and correlation analysis using velocity signals obtained by discrete differentiation. The results demonstrate that the correlation peaks corresponding to train passages remain clearly identifiable in both representations of the signal, confirming the robustness of the proposed approach. At the same time, differentiation was shown to modify the spectral balance of the signal and to increase sensitivity to high-frequency noise, which may affect the sharpness and stability of correlation peaks. The study therefore proposes several practical measures for improving detection stability, including spectral band selection, consistent preprocessing of template and data signals, detrending procedures, smoothing before differentiation, and adaptive thresholding of correlation peaks. The obtained results confirm the temporal stability of seismic portraits and demonstrate the feasibility of transferring correlation templates between different physical signal representations and sensor types. The proposed approach can be effectively applied in automated systems for engineering seismic monitoring, long-term observation of technogenic vibration sources, and detection of moving transport objects using velocimetric measurements. Fig.: 4. Refs: 24 titles. |
| doi_str_mv | 10.35681/1560-9189.2026.28.1.358585 |
| first_indexed | 2026-05-17T01:00:05Z |
| format | Article |
| id | drspiprikievua-article-358585 |
| institution | Data Recording, Storage & Processing |
| keywords_txt_mv | keywords |
| language | Ukrainian |
| last_indexed | 2026-05-17T01:00:05Z |
| publishDate | 2026 |
| publisher | Інститут проблем реєстрації інформації НАН України |
| record_format | ojs |
| spelling | drspiprikievua-article-3585852026-05-16T22:01:18Z An application of the correlation method for moving object identification using velocimeter data Застосування кореляційного методу для ідентифікації рухомих об’єктів за даними велосиметрів Манько, Д. Ю. Беляк, Є. В. Косяк, І. В. кореляційний метод, велосиметр, ідентифікація рухомих об’єктів, сейсмічний портрет, диференціювання сигналів, кореляційна функція correlation method, velocimeter, moving object identification, seismic portrait, signal differentiation, cross-correlation The study investigates the applicability of the correlation method for the identification of moving objects using velocimetric seismic measurements in tasks of engineering monitoring and detection of transport-related events. In practical monitoring systems, seismic “portraits” of characteristic events are often formed using displacement signals, whereas field measurements are commonly obtained from velocimeters that record ground velocity. This difference in physical representation may reduce the correlation agreement between the reference signal and measured data due to spectral distortions introduced by differentiation. The work analyzes the theoretical relationship between the cross-correlation functions of displacement and velocity signals under the assumptions of bounded and ergodic processes and demonstrates that correlation portraits can be consistently transferred between these signal representations when appropriate preprocessing is applied. A discrete procedure for constructing a “virtual velocimeter” using finite-difference differentiation is proposed, enabling the transformation of displacement signals into velocity form suitable for streaming data processing. On this basis, a correlation identification algorithm designed for continuous monitoring is developed. The algorithm implements a template-matching scheme in which a reference seismic portrait of a characteristic event is sequentially compared with fragments of the incoming data stream using normalized cross-correlation. Experimental verification was carried out using seismic records of freight train passages, which represent a typical example of technogenic vibration sources relevant for infrastructure monitoring. A reference seismic portrait of the train passage was extracted from measured data and used as a template to search for similar events in a long-duration seismic record. The experiments included two processing regimes: correlation analysis based on displacement signals and correlation analysis using velocity signals obtained by discrete differentiation. The results demonstrate that the correlation peaks corresponding to train passages remain clearly identifiable in both representations of the signal, confirming the robustness of the proposed approach. At the same time, differentiation was shown to modify the spectral balance of the signal and to increase sensitivity to high-frequency noise, which may affect the sharpness and stability of correlation peaks. The study therefore proposes several practical measures for improving detection stability, including spectral band selection, consistent preprocessing of template and data signals, detrending procedures, smoothing before differentiation, and adaptive thresholding of correlation peaks. The obtained results confirm the temporal stability of seismic portraits and demonstrate the feasibility of transferring correlation templates between different physical signal representations and sensor types. The proposed approach can be effectively applied in automated systems for engineering seismic monitoring, long-term observation of technogenic vibration sources, and detection of moving transport objects using velocimetric measurements. Fig.: 4. Refs: 24 titles. Досліджено можливість застосування кореляційного методу ідентифікації рухомих об’єктів за даними велосиметричних вимірювань у задачах моніторингу техногенних впливів і виявлення транспортних об’єктів. Розглянуто проблему перенесення «сейсмічних портретів», сформованих за сигналами зміщення, на сигнали швидкості, що реєструються велосиметрами, та проаналізовано вплив диференціювання на спектральні властивості та кореляційне узгодження сигналів. Обґрунтовано зв’язок взаємно-кореляційних функцій сигналів зміщення та швидкості за умови обмеженості процесів і ергодичності, що дозволяє узгоджувати кореляційні портрети. Запропоновано дискретну процедуру формування «уявного велосиметра» на основі кінцевих різниць і алгоритм кореляційної ідентифікації, що придатний для потокової об-робки даних. Експериментальна перевірка на прикладі ідентифікації проходження вантажного потяга показала узгоджену працездатність методу як для сигналів зміщення, так і для швидкісних сигналів, отриманих диференціюванням. Підтверджено часову стабільність кореляційного портрета та можливість його використання для довготривалого моніторингу. Отримані результати свідчать про ефективність застосування кореляційного методу у системах інженерного сейсмічного контролю та автоматизованого виявлення рухомих об’єктів на основі велосиметричних вимірювань.  Інститут проблем реєстрації інформації НАН України 2026-03-17 Article Article application/pdf https://drsp.ipri.kiev.ua/article/view/358585 10.35681/1560-9189.2026.28.1.358585 Data Recording, Storage & Processing; Vol. 28 No. 1 (2026); 33-49 Регистрация, хранение и обработка данных; Том 28 № 1 (2026); 33-49 Реєстрація, зберігання і обробка даних; Том 28 № 1 (2026); 33-49 1560-9189 uk https://drsp.ipri.kiev.ua/article/view/358585/346644 Авторське право (c) 2026 Реєстрація, зберігання і обробка даних |
| spellingShingle | correlation method velocimeter moving object identification seismic portrait signal differentiation cross-correlation Манько, Д. Ю. Беляк, Є. В. Косяк, І. В. An application of the correlation method for moving object identification using velocimeter data |
| title | An application of the correlation method for moving object identification using velocimeter data |
| title_alt | Застосування кореляційного методу для ідентифікації рухомих об’єктів за даними велосиметрів |
| title_full | An application of the correlation method for moving object identification using velocimeter data |
| title_fullStr | An application of the correlation method for moving object identification using velocimeter data |
| title_full_unstemmed | An application of the correlation method for moving object identification using velocimeter data |
| title_short | An application of the correlation method for moving object identification using velocimeter data |
| title_sort | application of the correlation method for moving object identification using velocimeter data |
| topic | correlation method velocimeter moving object identification seismic portrait signal differentiation cross-correlation |
| topic_facet | кореляційний метод велосиметр ідентифікація рухомих об’єктів сейсмічний портрет диференціювання сигналів кореляційна функція correlation method velocimeter moving object identification seismic portrait signal differentiation cross-correlation |
| url | https://drsp.ipri.kiev.ua/article/view/358585 |
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