Hand Detection and Location Based on Improved SSD for Space Human-Robot Interaction

CORC > 沈阳自动化研究所 > 中国科学院沈阳自动化研究所 > 空间自动化技术研究室

	Hand Detection and Location Based on Improved SSD for Space Human-Robot Interaction
	Zhang, Lu 1; Liu JG(刘金国)2 ; Gao Q(高庆)2,4 ; Ju ZJ(琚兆杰)3; Liu YW(刘玉旺)2 ; Li YM(李杨民)5
	2018
会议日期	August 9-11, 2018
会议地点	Newcastle, NSW, Australia
关键词	Human-robot interaction Hands detection SSD Deep learning
页码	164-175
英文摘要	In the astronaut-space robot interaction based on hand gestures, the detection and location of hands are the premise and basis of vision-based hand gesture recognition and hand tracking. In this paper, the SSD (Single Shot Multibox Detector) which is a kind of deep learning model is utilized to detect and locate astronaut’s hands for space human-robot interaction (SHRI) based on hand gestures. First of all, in order to meet the needs of hand detection and location, an improved SSD model is designed to detect hands when they are shown as small targets in images. Then, a platform for SHRI is built and a set of hand gestures for SHRI are designed. Finally, the proposed SSD model is validated experimentally on a homemade hand gesture database for proving the superiority of this improved SSD model to small target hands detection.
产权排序	1
会议录	Intelligent Robotics and Applications - 11th International Conference, ICIRA 2018, Proceedings
会议录出版者	Springer Verlag
会议录出版地	Berlin
语种	英语
ISSN号	0302-9743
ISBN号	978-3-319-97585-6
WOS记录号	WOS:000458556300015
内容类型	会议论文
源URL	[http://ir.sia.cn/handle/173321/22730]
专题	沈阳自动化研究所_空间自动化技术研究室
通讯作者	Liu JG(刘金国)
作者单位	1.Key Laboratory of Space Utilization, Technology and Engineering Center for Space Utilization, Chinese Academy of Sciences, Beijing 100094, China 2.The State Key Laboratory of Robotics, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang 110016, China 3.School of Computing, University of Portsmouth, Portsmouth, PO1 3HE, United Kingdom 4.University of the Chinese Academy of Science, Beijing 100049, China 5.Department of Industrial and Systems Engineering, The Hong Kong Polytechnic University, 999077, Hong Kong
推荐引用方式 GB/T 7714	Zhang, Lu,Liu JG,Gao Q,et al. Hand Detection and Location Based on Improved SSD for Space Human-Robot Interaction[C]. 见:. Newcastle, NSW, Australia. August 9-11, 2018.