Tracking the 3D position and orientation of flying swarms with learned kinematic pattern using LSTM network

doi:10.1109/ICME.2017.8019406

	Tracking the 3D position and orientation of flying swarms with learned kinematic pattern using LSTM network
	Wang, Shuo Hong 1; Su, Hai Feng 2; Cheng, Xi En 3; Liu, Ye 4; Quo, Aike 2; Chen, Yan Qiu 1
刊名	Proceedings - IEEE International Conference on Multimedia and Expo
	2017
卷号	0 页码:1225-1230
ISSN号	19457871
DOI	10.1109/ICME.2017.8019406
英文摘要	Accurately and reliably tracking the 3D position and orientation of individuals in large flying swarms is valuable not only for scientific researches but also practical applications. However, large quantity, frequent occlusions, similar appearance, tiny body size and abrupt motion make it remain an open problem. The 3D flying swarm tracking method proposed in this paper tracks both position and orientation of each individual in the swarm using the particle filter framework. Particles are scattered more pertinently by the dynamic model based on the learned kinematic pattern of a single target with a Long Short-Term Memory (LSTM) network. In addition, the observation model combines the Weighted Occupancy Ratio (WOR) and Temporal Appearance Coherency (TAC) cues in each view to improve the accuracy and robustness of the reconstructed body orientation. Experiments on both simulation and real-world data sets demonstrate the effectiveness and superiority of the proposed method. © 2017 IEEE.
内容类型	期刊论文
源URL	[http://ir.sic.ac.cn/handle/331005/25683]
专题	中国科学院上海硅酸盐研究所
作者单位	1.School of Computer Science, Shanghai Key Laboratory of Intelligent Information Processing, Fudan University, Shanghai, China; 2.Institute of Neuroscience, State Key Laboratory of Neuroscience, CAS Center for Excellence in Brain Science and Intelligence Technology, Shanghai Institutes for Biological Sciences, CAS, Shanghai, China; 3.Jingdezhen Ceramic Institute, Jindezhen, China; 4.College of Automation, Nanjing University of Posts and Telecommunications, China
推荐引用方式 GB/T 7714	Wang, Shuo Hong,Su, Hai Feng,Cheng, Xi En,et al. Tracking the 3D position and orientation of flying swarms with learned kinematic pattern using LSTM network[J]. Proceedings - IEEE International Conference on Multimedia and Expo,2017,0:1225-1230.
APA	Wang, Shuo Hong,Su, Hai Feng,Cheng, Xi En,Liu, Ye,Quo, Aike,&Chen, Yan Qiu.(2017).Tracking the 3D position and orientation of flying swarms with learned kinematic pattern using LSTM network.Proceedings - IEEE International Conference on Multimedia and Expo,0,1225-1230.
MLA	Wang, Shuo Hong,et al."Tracking the 3D position and orientation of flying swarms with learned kinematic pattern using LSTM network".Proceedings - IEEE International Conference on Multimedia and Expo 0(2017):1225-1230.