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Tracking the 3D position and orientation of flying swarms with learned kinematic pattern using LSTM network
Wang, Shuo Hong1; Su, Hai Feng2; Cheng, Xi En3; Liu, Ye4; Quo, Aike2; Chen, Yan Qiu1
2017
Source PublicationProceedings - IEEE International Conference on Multimedia and Expo
ISSN19457871
Volume0Pages:1225-1230
AbstractAccurately 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.
DOI10.1109/ICME.2017.8019406
EI Accession Number20174004234792
EI KeywordsLong short-term memory
EI Classification Number931.1 Mechanics
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Document Type期刊论文
Identifierhttp://ir.sic.ac.cn/handle/331005/25683
Collection中国科学院上海硅酸盐研究所
Affiliation1.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
Recommended Citation
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.
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