Face Detection With Different Scales Based on Faster R-CNN

	Face Detection With Different Scales Based on Faster R-CNN
	Wenqi Wu; Yingjie Yin; Xingang Wang; De Xu
	2018-08
发表期刊	IEEE Transactions on Cybernetics
期号	0 页码:0
摘要	In this paper, a position measurement system including drogue’s landmark detection and position computation for autonomous aerial refueling of UAVs is proposed. A multi-task parallel deep convolution neural network (MPDCNN) is designed to detect the landmarks of the drogue target. In MPDCNN, two parallel convolution networks are used, and a fusion mechanism is proposed to accomplish the effective fusion of the drogue’s two salient parts’ landmark detection. Considering the drogue target’s geometric constraints, a position measurement method based on monocular vision is proposed. An effective fusion strategy which fuses the measurement results of drogue’s different parts is proposed to achieve robust position measurement. The error of landmark detection with the proposed method is 3.9%, and it is obvious lower than the errors of other methods. Experimental results on the two KUKA robots platform verify the effectiveness and robustness of the proposed position measurement system for aerial refueling.
关键词	Deep Convolutional Neural Network (Dcnn) Deep Learning Face Detection Faster R-cnn
文献类型	期刊论文
条目标识符	http://ir.ia.ac.cn/handle/173211/21698
专题	精密感知与控制研究中心_精密感知与控制
通讯作者	Yingjie Yin
推荐引用方式 GB/T 7714	Wenqi Wu,Yingjie Yin,Xingang Wang,et al. Face Detection With Different Scales Based on Faster R-CNN[J]. IEEE Transactions on Cybernetics,2018(0):0.
APA	Wenqi Wu,Yingjie Yin,Xingang Wang,&De Xu.(2018).Face Detection With Different Scales Based on Faster R-CNN.IEEE Transactions on Cybernetics(0),0.
MLA	Wenqi Wu,et al."Face Detection With Different Scales Based on Faster R-CNN".IEEE Transactions on Cybernetics .0(2018):0.

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