| 書目名稱 | Qualitative Motion Understanding | | 編輯 | Wilhelm Burger,Bir Bhanu | | 視頻video | http://file.papertrans.cn/781/780148/780148.mp4 | | 叢書名稱 | The Springer International Series in Engineering and Computer Science | | 圖書封面 |  | | 描述 | Mobile robots operating in real-world, outdoor scenarios dependon dynamic scene understanding for detecting and avoiding obstacles,recognizing landmarks, acquiring models, and for detecting andtracking moving objects. Motion understanding has been an activeresearch effort for more than a decade, searching for solutions tosome of these problems; however, it still remains one of the moredifficult and challenging areas of computer vision research. ..Qualitative Motion Understanding. describes a qualitativeapproach to dynamic scene and motion analysis, called DRIVE (DynamicReasoning from Integrated Visual Evidence). The DRIVE system addressesthe problems of (a) estimating the robot‘s egomotion, (b)reconstructing the observed 3-D scene structure; and (c) evaluatingthe motion of individual objects from a sequence of monocular images.The approach is based on the FOE (focus of expansion) concept, but ittakes a somewhat unconventional route. The DRIVE system uses aqualitative scene model and a fuzzy focus of expansion to estimaterobot motion from visual cues, to detect and track moving objects, andto construct and maintain a global dynamic reference model. . | | 出版日期 | Book 1992 | | 關(guān)鍵詞 | Tracking; composing; computer vision; fuzzy; mobile robot; robot | | 版次 | 1 | | doi | https://doi.org/10.1007/978-1-4615-3566-9 | | isbn_softcover | 978-1-4613-6584-6 | | isbn_ebook | 978-1-4615-3566-9Series ISSN 0893-3405 | | issn_series | 0893-3405 | | copyright | Springer Science+Business Media New York 1992 |
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