{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,15]],"date-time":"2026-01-15T05:47:25Z","timestamp":1768456045008,"version":"3.49.0"},"reference-count":39,"publisher":"MDPI AG","issue":"4","license":[{"start":{"date-parts":[[2022,11,25]],"date-time":"2022-11-25T00:00:00Z","timestamp":1669334400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100011051","name":"Council for Grants of the President of the Russian Federation","doi-asserted-by":"publisher","award":["MK-3918.2021.1.6"],"award-info":[{"award-number":["MK-3918.2021.1.6"]}],"id":[{"id":"10.13039\/501100011051","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["BDCC"],"abstract":"<jats:p>The task of determining the distance from one object to another is one of the important tasks solved in robotics systems. Conventional algorithms rely on an iterative process of predicting distance estimates, which results in an increased computational burden. Algorithms used in robotic systems should require minimal time costs, as well as be resistant to the presence of noise. To solve these problems, the paper proposes an algorithm for Kalman combination filtering with a Goldschmidt divisor and a median filter. Software simulation showed an increase in the accuracy of predicting the estimate of the developed algorithm in comparison with the traditional filtering algorithm, as well as an increase in the speed of the algorithm. The results obtained can be effectively applied in various computer vision systems.<\/jats:p>","DOI":"10.3390\/bdcc6040142","type":"journal-article","created":{"date-parts":[[2022,11,28]],"date-time":"2022-11-28T01:58:46Z","timestamp":1669600726000},"page":"142","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":6,"title":["Moving Object Detection Based on a Combination of Kalman Filter and Median Filtering"],"prefix":"10.3390","volume":"6","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-0966-3455","authenticated-orcid":false,"given":"Diana","family":"Kalita","sequence":"first","affiliation":[{"name":"Department of Mathematical Modeling, North Caucasus Federal University, 355017 Stavropol, Russia"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0487-4779","authenticated-orcid":false,"given":"Pavel","family":"Lyakhov","sequence":"additional","affiliation":[{"name":"Department of Mathematical Modeling, North Caucasus Federal University, 355017 Stavropol, Russia"},{"name":"Department of Modular Computing and Artificial Intelligence, North-Caucasus Center for Mathematical Research, 355017 Stavropol, Russia"}]}],"member":"1968","published-online":{"date-parts":[[2022,11,25]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"20159","DOI":"10.1109\/ACCESS.2022.3151717","article-title":"Moving Object Prediction and Grasping System of Robot Manipulator","volume":"10","author":"Wong","year":"2022","journal-title":"IEEE Access"},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"3317","DOI":"10.1109\/TCSVT.2019.2926164","article-title":"Salient Features for Moving Object Detection in Adverse Weather Conditions During Night Time","volume":"30","author":"Singha","year":"2020","journal-title":"IEEE Trans. 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