https://scholars.lib.ntu.edu.tw/handle/123456789/155225
標題: | Vehicle-type motion estimation by the fusion of image point and line features | 作者: | SOO-CHANG PEI Liou, Lin-Gwo |
關鍵字: | Ground plane constraint; Image lines; Image points; Traffic surveillance system | 公開日期: | 1998 | 卷: | 31 | 期: | 3 | 起(迄)頁: | 333-344 | 來源出版物: | Pattern Recognition | 摘要: | Three-dimensional (3D) motion estimation is a very important topic in machine vision. However, reliability of the estimated 3D motion seems to be the most challenging problem, especially to the linear algorithms developed for solving a general 3D motion problem (six degrees of freedom). In real applications such as the traffic surveillance and auto-vehicle systems, the observed 3D motion has only three degrees of freedom because of the ground plane constraint (GPC). In this paper, a new iterative method is proposed for solving the above problem. Our method has several advantages: (1) It can handle both the point and line features as its input image data. (2) It is very suitable for parallel processing. (3) Its cost function is so well-conditioned that the final 3D motion estimation is robust and insensitive to noise, which is proved by experiments. (4) It can handle the case of missing data to a certain degree. The above benefits make our method suitable for a real application. Experiments including simulated and real-world images show satisfactory results. © 1997 Pattern Recognition Society. Published by Elsevier Science Ltd. |
URI: | http://ntur.lib.ntu.edu.tw//handle/246246/142448 https://www.scopus.com/inward/record.uri?eid=2-s2.0-0032021248&doi=10.1016%2fs0031-3203%2897%2900044-7&partnerID=40&md5=55715656786f9a36831cecd84a09d3a5 |
ISSN: | 00313203 | DOI: | 10.1016/s0031-3203(97)00044-7 | SDG/關鍵字: | Algorithms; Computer vision; Constraint theory; Degrees of freedom (mechanics); Image analysis; Iterative methods; Parallel processing systems; Problem solving; Three dimensional; Ground plane constraint; Image point; Line features; Motion estimation; Traffic surveillance system; Feature extraction |
顯示於: | 電機工程學系 |
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