{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2023,10,24]],"date-time":"2023-10-24T05:40:27Z","timestamp":1698126027889},"reference-count":15,"publisher":"Wiley","issue":"2","license":[{"start":{"date-parts":[[2005,10,20]],"date-time":"2005-10-20T00:00:00Z","timestamp":1129766400000},"content-version":"vor","delay-in-days":4889,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Int J Imaging Syst Tech"],"published-print":{"date-parts":[[1992,6]]},"abstract":"<jats:title>Abstract<\/jats:title><jats:p>We propose a motion estimation system that uses stereo image pairs as the input data. To perform experimental work, we also obtain a sequence of outdoor stereo images taken by two metric cameras. The system consists of four main stages, which are (1) determination of point correspondences on the stereo images, (2) correction of distortions in image coordinates, (3) derivation of 3D point coordinates from 2D correspondences, and (4) estimation of motion parameters based on 3D point correspondences. For the first stage of the system, we use a four\u2010way matching algorithm to obtain matched point on two stereo image pairs at two consecutive time instants (<jats:italic>t<jats:sub>i<\/jats:sub><\/jats:italic> and <jats:italic>t<\/jats:italic><jats:sub><jats:italic>i<\/jats:italic> + 1<\/jats:sub>). Since the input data are stereo images taken by cameras, it has two types of distortions, which are (i) film distortion and (ii) lens distortion. These two distortions must be corrected before any process can be applied on the matched points. To accomplish this goal, we use (i) bilinear transform for film distortion correction and (ii) lens formulas for lens distortion correction. After correcting the distortions, the results are 2D coordinates of each matched point that can be used to derive 3D coordinates. However, due to data noise, the calculated 3D coordinates to not usually represent a consistent rigid structure that is suitable for motion estimation; therefore, we suggest a procedure to select good 3D point sets as the input for motion estimation. The procedure exploits two constraints, rigidity between different time instants and uniform point distribution across the object on the image. For the last stage, we use an algorithm to estimate the motion parameters. We also wish to know what is the effect of quantization error on the estimated results; therefore an error analysis based on quantization error is performed on the estimated motion parameters. In order to test our system, eight sets of stereo image pairs are extracted from an outdoor stereo image sequence and used as the input data. The experimental results indicate that the proposed system does provide reasonable estimated motion parameters.<\/jats:p>","DOI":"10.1002\/ima.1850040203","type":"journal-article","created":{"date-parts":[[2007,3,5]],"date-time":"2007-03-05T22:27:32Z","timestamp":1173133652000},"page":"80-97","source":"Crossref","is-referenced-by-count":2,"title":["Estimating three\u2010dimensional vehicle motion in an outdoor scene using stereo image sequences"],"prefix":"10.1002","volume":"4","author":[{"given":"Mun K.","family":"Leung","sequence":"first","affiliation":[]},{"given":"Thomas S.","family":"Huang","sequence":"additional","affiliation":[]}],"member":"311","published-online":{"date-parts":[[2005,10,20]]},"reference":[{"key":"e_1_2_1_2_2","volume-title":"The 22nd Asilomar Conference on Signals, Systems and Computers","author":"Lee H.","year":"1988"},{"key":"e_1_2_1_3_2","unstructured":"D. B.Goldgof \u201cMotion Estimation from Three\u2010Dimensional Data \u201d PhD thesis University of Illinois at Urbana\u2010Champaign Urbana Illinois 1989."},{"key":"e_1_2_1_4_2","doi-asserted-by":"publisher","DOI":"10.1007\/BF01212277"},{"key":"e_1_2_1_5_2","volume-title":"IEEE Workshop on Visual Motion Irvine, CA, March 1989","author":"Leung M. K.","year":"1989"},{"key":"e_1_2_1_6_2","unstructured":"M. K.LeungandT. S.Huang \u201cMatching image point features over space and time \u201d in International Conference on Image Processing Singapore Sept.1989."},{"key":"e_1_2_1_7_2","volume-title":"10th International Conference on Pattern Recognition","author":"Choudhary A. N.","year":"1990"},{"key":"e_1_2_1_8_2","volume-title":"IEEE Conference on Computer Vision and Pattern Recognition","author":"Kim Y. C.","year":"1985"},{"key":"e_1_2_1_9_2","unstructured":"E. M.MikhailandF. C.Paderes \u201cPhotogrammetric series of moving vehicle \u201d Scientific Services Program DAAL03\u201086\u2010D\u20100001 (0683) CAI\u2010RI U. S. Army ETL Fort Belvoir Virginia 22060\u20105546 Nov.1988."},{"key":"e_1_2_1_10_2","volume-title":"IEEE Conference on Computer Vision and Pattern Recognition","author":"Haung T. S.","year":"1986"},{"key":"e_1_2_1_11_2","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.1987.4767965"},{"key":"e_1_2_1_12_2","unstructured":"O. D.FaugerasandM.Hebert \u201cA 3\u2010D recognition and positioning algorithm using geometrical matching between primitive surfaces \u201d in International Joint Conference on Artificial Intelligence Karlshrue West Germany Aug.1983."},{"key":"e_1_2_1_13_2","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.1986.4767838"},{"key":"e_1_2_1_14_2","unstructured":"S. M.KiangandJ. K.Aggarwal \u201cTriangular errors in stereo algorithms \u201d Computer and Vision Research Center The University of Texas at Austin Austin TX 78712 July1987."},{"key":"e_1_2_1_15_2","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.1987.4767982"},{"key":"e_1_2_1_16_2","unstructured":"A. N.Choudhary M. K.Leung T. S.HuangandJ. H.Patel \u201cNovel techniques for data decomposition and load balancing for parallel processing of vision systems \u201d submitted toIEEE Trans. Pattern Anal. Mach. Intell."}],"container-title":["International Journal of Imaging Systems and Technology"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.wiley.com\/onlinelibrary\/tdm\/v1\/articles\/10.1002%2Fima.1850040203","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/onlinelibrary.wiley.com\/doi\/pdf\/10.1002\/ima.1850040203","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,10,23]],"date-time":"2023-10-23T11:22:38Z","timestamp":1698060158000},"score":1,"resource":{"primary":{"URL":"https:\/\/onlinelibrary.wiley.com\/doi\/10.1002\/ima.1850040203"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[1992,6]]},"references-count":15,"journal-issue":{"issue":"2","published-print":{"date-parts":[[1992,6]]}},"alternative-id":["10.1002\/ima.1850040203"],"URL":"https:\/\/doi.org\/10.1002\/ima.1850040203","archive":["Portico"],"relation":{},"ISSN":["0899-9457","1098-1098"],"issn-type":[{"value":"0899-9457","type":"print"},{"value":"1098-1098","type":"electronic"}],"subject":[],"published":{"date-parts":[[1992,6]]}}}