{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,4]],"date-time":"2025-11-04T10:52:37Z","timestamp":1762253557163,"version":"3.40.5"},"reference-count":16,"publisher":"World Scientific Pub Co Pte Ltd","issue":"05","funder":[{"name":"the Department of Science and Technology of Jilin Province","award":["20200401134GX"],"award-info":[{"award-number":["20200401134GX"]}]},{"name":"the Development and Reform Commission of Jilin Province","award":["2020C019-8","2020C018-3"],"award-info":[{"award-number":["2020C019-8","2020C018-3"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Int. J. Patt. Recogn. Artif. Intell."],"published-print":{"date-parts":[[2021,4]]},"abstract":"<jats:p> In order to detect the type of vehicle seat and the missing part of the spring hook, this paper proposes an improved RANSAC-SURF method. First, the image is filtered by a Gauss filter. Second, an improved RANSAC-SURF algorithm is used to detect the types of vehicle seats. Extract the feature points of vehicle seats. The feature points are matched according to the improved RANSAC-SURF algorithm. Third, the image distortion of the vehicle seat is corrected by the method of perspective transformation. Determine whether the seat\u2019s spring hook is missing or not according to the absolute value of the gray difference between the image collected by the camera and the image of the normal installation. The experimental results show that the MSE of the Gauss filter under a 5 [Formula: see text] 5 template is 19.0753, and the PSNR is 35.3261, which is better than that of the mean filter and the median filter. The total matching logarithm of feature points and the number of intersection points are 188 and 18, respectively, in the improved RANSAC-SURF matching algorithm. <\/jats:p>","DOI":"10.1142\/s0218001421550041","type":"journal-article","created":{"date-parts":[[2020,9,22]],"date-time":"2020-09-22T06:06:52Z","timestamp":1600754812000},"page":"2155004","source":"Crossref","is-referenced-by-count":7,"title":["Vehicle Seat Detection Based on Improved RANSAC-SURF Algorithm"],"prefix":"10.1142","volume":"35","author":[{"given":"Xiaoguang","family":"Li","sequence":"first","affiliation":[{"name":"School of Electric and Information, Changchun Guanghua University, No.3555 Wuhan Road, Changchun, Jilin, P.\u00a0R.\u00a0China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5359-2308","authenticated-orcid":false,"given":"Juan","family":"Zhu","sequence":"additional","affiliation":[{"name":"School of Electromechanic Engineering, Changchun University of Technology, No.2055 Yan-an Street, Changchun, Jilin, P.\u00a0R.\u00a0China"}]},{"given":"Yiming","family":"Ruan","sequence":"additional","affiliation":[{"name":"School of Electromechanic Engineering, Changchun University, No. 6543 Weixing Road, Changchun, Jilin, P.\u00a0R.\u00a0China"}]}],"member":"219","published-online":{"date-parts":[[2020,11,26]]},"reference":[{"issue":"9","key":"S0218001421550041BIB002","first-page":"67","volume":"6","author":"Huang H.","year":"2017","journal-title":"Peak Data Sci."},{"issue":"06","key":"S0218001421550041BIB003","first-page":"295","author":"Huang X.","year":"2007","journal-title":"Acta Photon. 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