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An improved method for object instance detection based on object center estimation and convex quadrilateral verification
Zhang Q(张强); Qu DK(曲道奎); Xu F(徐方); Jia K(贾凯); Jiang, Nan; Zou FS(邹风山)
作者部门其他
会议名称2016 IEEE Information Technology, Networking, Electronic and Automation Control Conference, ITNEC 2016
会议日期May 20-22, 2016
会议地点Chongqing, China
会议主办者Chongqing Global Union Academy of Science and Technology; Global Union Academy of Science and Technology; IEEE Beijing Section
会议录名称Proceedings of 2016 IEEE Information Technology, Networking, Electronic and Automation Control Conference, ITNEC 2016
出版者IEEE
出版地Piscataway, NJ, USA
2016
页码174-177
收录类别EI ; CPCI(ISTP)
EI收录号20164202910709
WOS记录号WOS:000389505000037
产权排序1
ISBN号978-1-4673-9192-4
关键词Object Instance Detection Zooming Image Density Estimation Region Of Interest Convex Quadrilateral Verification
摘要This paper proposes a new frame which combines kernel density estimation with convex quadrilateral verification to achieve identification and localization of object instance in zooming image. Reference object centers are first calculated based on scales, orientations, and reference vectors for all matched key points. Then the valid object center with density peak value is held. A region of interest with evaluated radius is confirmed based on the scale of the center point and row and column number of the corresponding training image. Homography matrix is computed using the matched key points within the region. Finally, four edges of the candidate training image are mapped as a quadrilateral. Only if the quadrilateral is convex that the object instance is detected. The experimental results prove that the proposed approach provides high efficiency for real-time applications with robustness.
语种英语
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文献类型会议论文
条目标识符http://ir.sia.cn/handle/173321/19275
专题其他
通讯作者Zhang Q(张强)
作者单位1.State Key Laboratory of Robotics, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang, China
2.Shenyang SIASUN Robot and Automation Co. LTD., Shenyang, China
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GB/T 7714
Zhang Q,Qu DK,Xu F,et al. An improved method for object instance detection based on object center estimation and convex quadrilateral verification[C]//Chongqing Global Union Academy of Science and Technology; Global Union Academy of Science and Technology; IEEE Beijing Section. Piscataway, NJ, USA:IEEE,2016:174-177.
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