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Object Extraction in Cluttered Environments via a P300-Based IFCE
Mao, Xiaoqian; Li W(李伟); He, Huidong; Xian, Bin; Zeng, Ming; Zhou, Huihui; Niu, Linwei; Chen, Genshe
作者部门水下机器人研究室
发表期刊COMPUTATIONAL INTELLIGENCE AND NEUROSCIENCE
ISSN1687-5265
2017
卷号2017页码:1-12
收录类别SCI ; EI
EI收录号20172903943598
WOS记录号WOS:000405282900001
产权排序2
资助机构National Natural Science Foundation of China [61473207] ; CAS Hundred Talent Program, Shenzhen [JCYJ20151030140325151, KQTD20140630180249366]
摘要One of the fundamental issues for robot navigation is to extract an object of interest from an image. The biggest challenges for extracting objects of interest are how to use a machine to model the objects in which a human is interested and extract them quickly and reliably under varying illumination conditions. This article develops a novel method for segmenting an object of interest in a cluttered environment by combining a P300-based brain computer interface (BCI) and an improved fuzzy color extractor (IFCE). The induced P300 potential identifies the corresponding region of interest and obtains the target of interest for the IFCE. The classification results not only represent the human mind but also deliver the associated seed pixel and fuzzy parameters to extract the specific objects in which the human is interested. Then, the IFCE is used to extract the corresponding objects. The results show that the IFCE delivers better performance than the BP network or the traditional FCE. The use of a P300-based IFCE provides a reliable solution for assisting a computer in identifying an object of interest within images taken under varying illumination intensities.
语种英语
WOS标题词Science & Technology ; Life Sciences & Biomedicine
WOS类目Mathematical & Computational Biology ; Neurosciences
关键词[WOS]IMAGE SEGMENTATION ; RECOGNITION
WOS研究方向Mathematical & Computational Biology ; Neurosciences & Neurology
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文献类型期刊论文
条目标识符http://ir.sia.cn/handle/173321/20800
专题水下机器人研究室
通讯作者Li W(李伟)
作者单位1.School of Electrical Engineering and Automation, Tianjin University, Tianjin, 300072, China
2.Department of Computer and Electrical Engineering and Computer Science, California State University, Bakersfield, CA, 93311, United States
3.State Key Laboratory of Robotics, Shenyang Institute of Automation, Shenyang, Liaoning, 110016, China
4.Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, Guangdong, 518055, China
5.Department of Math and Computer Science, West Virginia State University, 5000 Fairlawn Ave, WV, 25112, United States
6.Intelligent Fusion Technology Inc., Germantown, MD, 20876, United States
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GB/T 7714
Mao, Xiaoqian,Li W,He, Huidong,et al. Object Extraction in Cluttered Environments via a P300-Based IFCE[J]. COMPUTATIONAL INTELLIGENCE AND NEUROSCIENCE,2017,2017:1-12.
APA Mao, Xiaoqian.,Li W.,He, Huidong.,Xian, Bin.,Zeng, Ming.,...&Chen, Genshe.(2017).Object Extraction in Cluttered Environments via a P300-Based IFCE.COMPUTATIONAL INTELLIGENCE AND NEUROSCIENCE,2017,1-12.
MLA Mao, Xiaoqian,et al."Object Extraction in Cluttered Environments via a P300-Based IFCE".COMPUTATIONAL INTELLIGENCE AND NEUROSCIENCE 2017(2017):1-12.
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