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First of all, the pixel coordinates of the objects are obtained by target matching, and then the area of the object on the captured image is calculated for rough matching. Finally, the precise coordinates of the objects to be located are obtained through their center values and recognized by the fine matching. Experimental results indicate that the proposed method has better performance. <\/jats:p>","DOI":"10.1142\/s1793962325410077","type":"journal-article","created":{"date-parts":[[2024,7,19]],"date-time":"2024-07-19T12:36:24Z","timestamp":1721392584000},"source":"Crossref","is-referenced-by-count":0,"title":["A low-cost indoor IoT object localization method based on monocular cameras at the edge device"],"prefix":"10.1142","volume":"16","author":[{"ORCID":"https:\/\/orcid.org\/0009-0008-3185-7652","authenticated-orcid":false,"given":"Yunmiao","family":"Bai","sequence":"first","affiliation":[{"name":"Fuzhou University, 2 Xue Yuan Road, University Town, Fuzhou, Fujian Province, Fuzhou 350108, P. R. China"}]},{"ORCID":"https:\/\/orcid.org\/0009-0000-1929-4844","authenticated-orcid":false,"given":"Yutong","family":"Gao","sequence":"additional","affiliation":[{"name":"Fuzhou University, 2 Xue Yuan Road, University Town, Fuzhou, Fujian Province, Fuzhou 350108, P. R. 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