发布求助
文献互助 智能选刊 最新文献

2020 13th International Symposium on Computational Intelligence and Design (ISCID)最新文献

筛选
英文 中文
Video Action Recognition Based on Spatio-temporal Feature Pyramid Module 基于时空特征金字塔模块的视频动作识别
2020 13th International Symposium on Computational Intelligence and Design (ISCID) Pub Date : 2020-12-01 DOI: 10.1109/ISCID51228.2020.00082
Suming Gong, Ying Chen
{"title":"Video Action Recognition Based on Spatio-temporal Feature Pyramid Module","authors":"Suming Gong, Ying Chen","doi":"10.1109/ISCID51228.2020.00082","DOIUrl":"https://doi.org/10.1109/ISCID51228.2020.00082","url":null,"abstract":"Modeling the spatio-temporal information of different actions facilitates their recognition. The mainstream 2D convolutional network has low computational cost but cannot capture timing information; the mainstream 3D convolutional network can extract spatio-temporal features but has a huge amount of calculation and is difficult to deploy. In this paper, a Spatiotemporal Feature Pyramid Module(STFPM) is proposed to extract spatio-temporal feature information. STFPM captures temporal information between frames by dilated convolution and fuses feature information by weighted addition. STFPM can be flexibly inserted into the 2D backbone network in a plug-and-play manner. When equipped with STFPM, 2D ResNet-50 achieves good results on UCF101 dataset and HMDB51 dataset.","PeriodicalId":236797,"journal":{"name":"2020 13th International Symposium on Computational Intelligence and Design (ISCID)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124309618","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
A Parallel Change Detection Method for Spatiotemporally Multi-Temporal SAR Image Based On Enhance Learning and Wavelet 基于增强学习和小波的时空多时相SAR图像并行变化检测方法
2020 13th International Symposium on Computational Intelligence and Design (ISCID) Pub Date : 2020-12-01 DOI: 10.1109/ISCID51228.2020.00016
Jinxi Peng, Yuanqi Su, X. Xue, Yi Li, B. Liu, Xiaoyong Xue, Aihua Wu
{"title":"A Parallel Change Detection Method for Spatiotemporally Multi-Temporal SAR Image Based On Enhance Learning and Wavelet","authors":"Jinxi Peng, Yuanqi Su, X. Xue, Yi Li, B. Liu, Xiaoyong Xue, Aihua Wu","doi":"10.1109/ISCID51228.2020.00016","DOIUrl":"https://doi.org/10.1109/ISCID51228.2020.00016","url":null,"abstract":"To take the advantages of a variety of remote sensing data, the application of remote sensing image change detection is a very important choice. Remote sensing image change detection is large in computing capacity and time-consuming, and with the development of modern remote sensing technology, however, the amount of various remote sensing data obtained is getting larger and larger to find a change detection in the Synthetic Aperture Radar(SAR) images accurately for effective computing power. As a basis for parallelization which is a parallel change detection methods of multi- temporal SAR image based on wavelet transform is proposed. In the methods, platform based on parallel computing enhance learning. According to the statistical characteristics of SAR images and the semantics of Convolutional Neural Networks (CNN) analysis, an efficient Change detection methods based on Enhance Learning Semantic Analysis and wavelet transform is proposed to achieve precision of change detection, the probability and Statistics Characteristics of conjugate multi-distribution function which the pixel and task were pre-handled for parallel computing. Then, it's superior to traditional change detection results that is obtained Multi-sample training set. To establish Bellman equation model, and iterate the threshold-change area to calculate statistical characteristics. The experiments show that the improving methods and computing power on parallel change detection platform will achieve better results, and it is in remote sensing applications with enhance learning of behavior science methods to solve the image threshold area change detection in enhance learning for image processing for hybrid parallel computing.","PeriodicalId":236797,"journal":{"name":"2020 13th International Symposium on Computational Intelligence and Design (ISCID)","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122430780","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Performance of UV Spread Spectrum Communication System based on LDPC Codes 基于LDPC码的紫外扩频通信系统性能研究
2020 13th International Symposium on Computational Intelligence and Design (ISCID) Pub Date : 2020-12-01 DOI: 10.1109/ISCID51228.2020.00036
Yiwei Peng, Dong Zhou
{"title":"Performance of UV Spread Spectrum Communication System based on LDPC Codes","authors":"Yiwei Peng, Dong Zhou","doi":"10.1109/ISCID51228.2020.00036","DOIUrl":"https://doi.org/10.1109/ISCID51228.2020.00036","url":null,"abstract":"In the UV scattering communication system, pulse broadening and noise will have a serious impact on the signal. LDPC code is a kind of error correcting code with excellent performance. It can improve the quality of UV communication to a great extent by combining it with spread spectrum technology which can effectively suppress multipath interference. Through the analysis and modeling of UV channel, a system scheme of LDPC + DSSS + BPSK is proposed, which can suppress multipath interference and improve the BER performance of the system.","PeriodicalId":236797,"journal":{"name":"2020 13th International Symposium on Computational Intelligence and Design (ISCID)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122939310","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
Neural Network-Based Passenger Flow Prediction: Take a Campus for Example 基于神经网络的客流预测:以某校园为例
2020 13th International Symposium on Computational Intelligence and Design (ISCID) Pub Date : 2020-12-01 DOI: 10.1109/ISCID51228.2020.00093
Lijuan Yao, Shuang Zhang, Guocai Li
{"title":"Neural Network-Based Passenger Flow Prediction: Take a Campus for Example","authors":"Lijuan Yao, Shuang Zhang, Guocai Li","doi":"10.1109/ISCID51228.2020.00093","DOIUrl":"https://doi.org/10.1109/ISCID51228.2020.00093","url":null,"abstract":"In order to reduce service delay and prevent severe overcrowding in the campus, it is necessary to predict the short-term passenger flow accurately during special events. In this paper, a Convolutional Neural Networks (CNN) was proposed for passenger flow forecasting. The key factors affecting the change of passenger flow are selected and analyzed based on the smart cart data and the education activities data. The results based on the operational data of our campus, show that the method proposed can better track and predict the people flow changes. Overall, this prediction can help agencies to better provide the basis and guarantee for the campus security, the resources allocation, and the personnel deployment. Meanwhile, it is also beneficial to the precautionary countermeasures for large crowd scenarios (shopping mall, highway or scenic spots).","PeriodicalId":236797,"journal":{"name":"2020 13th International Symposium on Computational Intelligence and Design (ISCID)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128418741","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
A User-Defined Gesture Set for Natural Interaction in a Smart Kitchen Environment 在智能厨房环境中进行自然交互的用户自定义手势集
2020 13th International Symposium on Computational Intelligence and Design (ISCID) Pub Date : 2020-12-01 DOI: 10.1109/ISCID51228.2020.00034
Zhifan He, Ruifo Zhang, Zheng Liu, Zhengyu Tan
{"title":"A User-Defined Gesture Set for Natural Interaction in a Smart Kitchen Environment","authors":"Zhifan He, Ruifo Zhang, Zheng Liu, Zhengyu Tan","doi":"10.1109/ISCID51228.2020.00034","DOIUrl":"https://doi.org/10.1109/ISCID51228.2020.00034","url":null,"abstract":"Mid-air gestures have long been used as a natural way for controlling smart kitchen appliances, like range hoods, but gesture interaction in the smart kitchen remains limited due to creation by system developers rather than users. To make gesture-based interaction more natural for users, the study aimed to find user-defined gestures suitabie for the smart kitchen. We conducted a structured process based on participatory design. Participants were invited to design gestures and evaluate the quality of gesture vocabulary. We collected the user-defined gestures and evaluate them based on participants’ preferences. The experiment results indicated a series of most suitable gestures for target tasks. These gestures were designed for the user-defined gesture set for natural interaction in a smart kitchen environment.","PeriodicalId":236797,"journal":{"name":"2020 13th International Symposium on Computational Intelligence and Design (ISCID)","volume":"489 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122173234","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 2
Influence of Hand Representation Design on Presence and Embodiment in Virtual Environment 手部表征设计对虚拟环境中存在与体现的影响
2020 13th International Symposium on Computational Intelligence and Design (ISCID) Pub Date : 2020-12-01 DOI: 10.1109/ISCID51228.2020.00088
Jingjing Zhang, Mengjie Huang, Lixiang Zhao, Rui Yang, Hai-Ning Liang, Ji Han, Liu Wang, Wenxin Sun
{"title":"Influence of Hand Representation Design on Presence and Embodiment in Virtual Environment","authors":"Jingjing Zhang, Mengjie Huang, Lixiang Zhao, Rui Yang, Hai-Ning Liang, Ji Han, Liu Wang, Wenxin Sun","doi":"10.1109/ISCID51228.2020.00088","DOIUrl":"https://doi.org/10.1109/ISCID51228.2020.00088","url":null,"abstract":"Previous research results have emphasized the influence of avatar representations on user perception in virtual environments, including presence and embodiment. It has been reported that realistic hands present a strong sense of presence and body ownership, while there is a controversy about the sense of agency. This paper investigates the influence of virtual hand representation on user perception and the association between the sense of body ownership and agency. An experiment based on virtual reality was designed with hand representations of different levels of realism to collect users’ perception data through questionnaires, and the Spearman correlation was adopted to analyze the relationship between body ownership and agency. The results show that realistic hand induces the higher sense of presence and body ownership, but there is no significant difference in the sense of agency. Moreover, a positive correlation between body ownership and agency in virtual environments was found.","PeriodicalId":236797,"journal":{"name":"2020 13th International Symposium on Computational Intelligence and Design (ISCID)","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125598988","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 11
Using Grey Wolf Hunting Mechanism to Improve Spherical Search 利用灰狼狩猎机制改进球面搜索
2020 13th International Symposium on Computational Intelligence and Design (ISCID) Pub Date : 2020-12-01 DOI: 10.1109/ISCID51228.2020.00022
Sicheng Liu, Sichen Tao, Haichuan Yang, Lin Jiang, Yuki Todo, Shangce Gao
{"title":"Using Grey Wolf Hunting Mechanism to Improve Spherical Search","authors":"Sicheng Liu, Sichen Tao, Haichuan Yang, Lin Jiang, Yuki Todo, Shangce Gao","doi":"10.1109/ISCID51228.2020.00022","DOIUrl":"https://doi.org/10.1109/ISCID51228.2020.00022","url":null,"abstract":"Spherical search algorithm (SS) was a swarm-based meta-heuristic recently proposed to solve the bound-constrained non-linear global optimization problems. It has quite competitive performance with respect to other popular algorithms. Nevertheless, it still has several defects, such as it can’t easily get rid of the situation that falls into the local optimal and its convergence speed is slow under the condition that the spherical space is much too large. As grey wolf optimization (GWO) algorithm has good abilities of minimizing the global search space and local area avoidance, the search mechanism of GWO by serial pattern is studied and combined with SS to improve its balance between exploration and exploitation. The new spherical search and grey wolf optimization algorithm algorithm we proposed is called SSGWO, and its superiority is demonstrated with experimental results based on 30 benchmark functions of IEEE CEC2017 in comparison with its component algorithms.","PeriodicalId":236797,"journal":{"name":"2020 13th International Symposium on Computational Intelligence and Design (ISCID)","volume":"73 5","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131874745","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Feature Fusion based Efficient Convolution Network for Real-time Table Tennis Ball Detection 基于特征融合的高效卷积网络乒乓球实时检测
2020 13th International Symposium on Computational Intelligence and Design (ISCID) Pub Date : 2020-12-01 DOI: 10.1109/ISCID51228.2020.00073
X. Sheng, Xiangyang Zhu, Luo Yang, Haibo Zhang
{"title":"Feature Fusion based Efficient Convolution Network for Real-time Table Tennis Ball Detection","authors":"X. Sheng, Xiangyang Zhu, Luo Yang, Haibo Zhang","doi":"10.1109/ISCID51228.2020.00073","DOIUrl":"https://doi.org/10.1109/ISCID51228.2020.00073","url":null,"abstract":"Ball detection is an important technique for the athlete training and technical analysis of the sport like table tennis, especially for the ball trajectory real-time analysis for the table tennis robot or real-time technical guidance system. How to detect the flying ball accurately and timely are two main challenges in this area. Since the table tennis ball is relatively small compared with the playing court, it belongs to the category of small object detection in large scenes. In this study, an efficient one-stage based detection algorithm structure is proposed to speed up the detection and achieves promising accuracy. Specifically, a network pruning strategy is applied to accelerate the detection. Furthermore, in order to alleviate the performance drop caused by network pruning, a novel context fusion component is introduced to the network which is a specified design for small object detection. The experimental results show the proposed feature fusion based efficient convolution network achieves real-time table tennis ball detection of 3.4 ms on the Nvidia 1050Ti hardware with 0.971 (mAP) accuracy.","PeriodicalId":236797,"journal":{"name":"2020 13th International Symposium on Computational Intelligence and Design (ISCID)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114296986","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
Micro-expression recognition convolutional network based on dual-stream temporal-domain information interaction 基于双流时域信息交互的微表情识别卷积网络
2020 13th International Symposium on Computational Intelligence and Design (ISCID) Pub Date : 2020-12-01 DOI: 10.1109/ISCID51228.2020.00096
Weijie Zhu, Ying Chen
{"title":"Micro-expression recognition convolutional network based on dual-stream temporal-domain information interaction","authors":"Weijie Zhu, Ying Chen","doi":"10.1109/ISCID51228.2020.00096","DOIUrl":"https://doi.org/10.1109/ISCID51228.2020.00096","url":null,"abstract":"There is a shortage of experimental data in the use of deep learning method for micro expression recognition. The neural network can obtain limited knowledge in the learning process and it is difficult to improve the accuracy. To tackle the problems, a dual-stream temporal-domain information interaction neural convolution network (Dual Scale Temporal Interactive Convolution Neural Network, DSTICNN) network is constructed to process micro-expression sequences and realize the automatic recognition of micro-expression. By improving the deep mutual learning strategy to guide the network to learn different temporal domain information of the same image sequence, the final recognition rate can be improved. The algorithm is tested on CASMEII and SMIC databases, and the results show that the algorithm in this paper can effectively improve the recognition rate of micro expressions, and the overall algorithm is better than existing algorithms.","PeriodicalId":236797,"journal":{"name":"2020 13th International Symposium on Computational Intelligence and Design (ISCID)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122421580","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 3
Sponsors and Committee Members 发起人及委员会成员
2020 13th International Symposium on Computational Intelligence and Design (ISCID) Pub Date : 2020-12-01 DOI: 10.1109/iscid51228.2020.00006
{"title":"Sponsors and Committee Members","authors":"","doi":"10.1109/iscid51228.2020.00006","DOIUrl":"https://doi.org/10.1109/iscid51228.2020.00006","url":null,"abstract":"","PeriodicalId":236797,"journal":{"name":"2020 13th International Symposium on Computational Intelligence and Design (ISCID)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125311440","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
首页 上一页 下一页 尾页
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整，为了账户安全，请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
请完成安全验证×
相关产品
×
本文献相关产品
联系我们：info@booksci.cn Book学术提供免费学术资源搜索服务，方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号：604180095
Book学术官方微信