Dynamic camera configuration learning for high-confidence active object detection

doi:10.1016/j.neucom.2021.09.037

	Dynamic camera configuration learning for high-confidence active object detection
	Xu, Nuo 1,2; Huo, Chunlei 1,2; Zhang, Xin 1,2; Cao, Yong 1,2; Meng, Gaofeng 1,2,3; Pan, Chunhong 2
刊名	NEUROCOMPUTING
	2021-11-27
卷号	466 页码:113-127
关键词	Object detection Active object detection Deep reinforcement learning Camera control
ISSN号	0925-2312
DOI	10.1016/j.neucom.2021.09.037
通讯作者	Xu, Nuo(nuo.xu@nlpr.ia.ac.cn)
英文摘要	The performance of object detection is closely related to the quality of input images. However, the current image acquisition is purely guided by human visual perception, and such camera imaging process ignores the subsequent application. In this context, detection performance is impacted by imaging configuration and dynamic camera motion. To address the above problems, an active object detection framework is proposed in this paper, which aims to build the bridge between imaging configuration and object detec-tion task. Within the proposed framework, a dynamic camera configuration learning approach is pre-sented based on deep reinforcement learning, where the camera is actively controlled to maximize the detection performance. Through iterated interactions between imaging, control and object detection, the deep gap between perception and cognition in the object detection system is eliminated, and the transformation from physical imaging to purposeful imaging is realized. The effectiveness and advan-tages of the proposed framework are demonstrated in three dynamic environments. (c) 2021 Elsevier B.V. All rights reserved.
资助项目	Natural Science Foundation of China[62071466] ; Natural Science Foundation of China[91438105] ; Natural Science Foundation of China[62076242] ; Natural Science Foundation of China[61976208] ; National Key Research and Development Program of China[2018AAA0100400]
WOS研究方向	Computer Science
语种	英语
出版者	ELSEVIER
WOS记录号	WOS:000710154200002
资助机构	Natural Science Foundation of China ; National Key Research and Development Program of China
内容类型	期刊论文
源URL	[http://ir.ia.ac.cn/handle/173211/46282]
专题	中国科学院自动化研究所
通讯作者	Xu, Nuo
作者单位	1.Univ Chinese Acad Sci, Sch Artificial Intelligence, Beijing 100049, Peoples R China 2.Chinese Acad Sci, Inst Automat, NLPR, Beijing 100190, Peoples R China 3.Chinese Acad Sci, Ctr Artificial Intelligence & Robot, HK Inst Sci & Innovat, Beijing, Peoples R China
推荐引用方式 GB/T 7714	Xu, Nuo,Huo, Chunlei,Zhang, Xin,et al. Dynamic camera configuration learning for high-confidence active object detection[J]. NEUROCOMPUTING,2021,466:113-127.
APA	Xu, Nuo,Huo, Chunlei,Zhang, Xin,Cao, Yong,Meng, Gaofeng,&Pan, Chunhong.(2021).Dynamic camera configuration learning for high-confidence active object detection.NEUROCOMPUTING,466,113-127.
MLA	Xu, Nuo,et al."Dynamic camera configuration learning for high-confidence active object detection".NEUROCOMPUTING 466(2021):113-127.