A new meanshift target tracking algorithm by combining feature points from gray and depth images | |
Lu, Lu[1]; Fei, Minrui[2]; Wang, Haikuan[3]; Hu, Huosheng[4] | |
2017 | |
会议名称 | International Conference on Life System Modeling and Simulation, LSMS 2017 and International Conference on Intelligent Computing for Sustainable Energy and Environment, ICSEE 2017 |
会议日期 | 2017-09-22 |
页码 | 545-555 |
URL标识 | 查看原文 |
内容类型 | 会议论文 |
URI标识 | http://www.corc.org.cn/handle/1471x/2182502 |
专题 | 上海大学 |
作者单位 | [1]School of Mechatronics Engineering and Automation, Shanghai University, Shanghai, China [2]School of Mechatronics Engineering and Automation, Shanghai University, Shanghai, China |Shanghai Key Laboratory of Power Station Automation Technology, Shanghai University, Shanghai, China [3]School of Mechatronics Engineering and Automation, Shanghai University, Shanghai, China [4]School of Computer Science and Electronic Engineering, University of Essex, Colchester, United Kingdom |
推荐引用方式 GB/T 7714 | Lu, Lu[1],Fei, Minrui[2],Wang, Haikuan[3],et al. A new meanshift target tracking algorithm by combining feature points from gray and depth images[C]. 见:International Conference on Life System Modeling and Simulation, LSMS 2017 and International Conference on Intelligent Computing for Sustainable Energy and Environment, ICSEE 2017. 2017-09-22. |
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