期刊：
Wireless Communications and Mobile Computing,2020年2020:8815461:1-8815461:10 ISSN：1530-8669
通讯作者：
Zhang, Jing
作者机构：
[Zhang, Jing; Si, Wen; Li, Yu-Dong] Shanghai Business Sch, Fac Business Informat, Shanghai 200235, Peoples R China.;[Si, Wen] Fudan Univ, Huashan Hosp, Dept Rehabil, Shanghai 200433, Peoples R China.;[Tan, Wei] Dongguan Univ Technol, Sch Comp Sci & Technol, Dongguan 523830, Peoples R China.;[Shao, Yi-Fan] Shanghai Jiao Tong Univ, ECE Univ Michigan Shanghai Jiao Tong Univ Joint I, Shanghai 200240, Peoples R China.;[Yang, Ge-Lan] Hunan City Univ, Dept Informat Sci & Engn, Yiyang 413000, Peoples R China.
通讯机构：
[Zhang, Jing] S;Shanghai Business Sch, Fac Business Informat, Shanghai 200235, Peoples R China.
摘要：
<jats:p>Biometric identification has verified its effectiveness in personal identity verification because of the uniqueness and noninvasion. In this research, we tend to apply the detection of biometric information to a remote sensing system for the purpose of security area monitoring. Our system is established by collecting signals from the coming individuals via the remote measurement in the specific condition where both kinds of data are detected to determine the identity. Specifically, the measuring of gait signals and facial images is integrated to provide a way of improving the detection accuracy and the robustness. In addition, the fuzzy association rule (FAR) is employed for data analysis in line with the outcomes of different methods. As such, the signals are integrated and transmitted for further processing and remote identification. Experiments are conducted to demonstrate the capability of the proposed system. With the training data increases, a high detection accuracy of 95.2% is obtained, which makes it a promising basis for the realization of remote identity verification.</jats:p>
摘要：
Chaotic particle swarm optimization algorithm is improved by incorporating antibody concentration, adaptive propagation, optimization mechanism of the multi-population evolution strategy, elite particles chaotic traversal mechanism and constraint processing mechanism. In this paper, an improved adaptive propagation chaotic particle swarm optimization algorithm based on immune selection (IS-APCPSO algorithm for short) is proposed. The performance of several algorithms has been compared by multimodal function, functions with high dimensional and complex constraints, bi-level programming function and a classic example of traffic network optimization. The experimental results prove that the proposed algorithm in accelerating convergence rate, increasing the diversity of particles, and preventing premature phenomenon is effective. The novel algorithm is expected to be used in the model solution of large-scale complex traffic network optimization problem.
摘要：
This paper presents the development of wearable sensing system that can be used to study the gait dynamics of human. A tester wearing sensing shoes participates in this study. Human gait information about standing, jumping and walking is obtained as prior probability based on the train movement model setup theory. For feature extraction of gait, five kinds of features are extracted from foot pressure signals, which are subsequently used for motion analysis. We employ support vector machine and fractal analysis for gait recognition and test the identification performance. Testing outcomes indicate an overall accuracy of 93.57% via radial basis function kernel function. These results demonstrate considerable potential in gait identification.
摘要：
Human detection is a popular topic and difficult problem in surveillance. This paper presents a research on human detection in complex indoor space utilizing a depth sensor. In recent years, target detection methods based on RGB-D data mainly include background learning, and feature detection operator. The former method depends on the initial background knowledge obtained from the first couple of frames in the video, and the length of frames decides detection quality. The latter method is more time intensive, and insufficient training samples will influence the detection result. Thus, in this paper we analyze the complex scene features thoroughly and integrate the color and depth information, proposing a RGBD+ViBe foreground extraction method. Based on the extraction outcome of the foreground, this research utilizes the 3D Mean-Shift method combined with depth constraints to handle multi-person partial occlusion problems. The experiment results indicate that the proposed RGBD+ViBe method outperforms the methods which only consider color or depth information, as well as the RGBD+MoG method. Furthermore, the proposed 3D Mean-Shift method achieves nearly 90% accuracy in multi-person detection result, and the false rate is merely 5%; while the accuracy of HOG, HOD and Comb-HOD methods are less than 75% and the false rate is around 10%. (C) 2018 Elsevier B.V. All rights reserved.
期刊：
Multimedia Tools and Applications,2016年75(23):15601-15617 ISSN：1380-7501
通讯作者：
Zhang, Yudong
作者机构：
[Yang, Gelan] Hunan City Univ, Sch Informat Sci & Engn, Yiyang 413000, Peoples R China.;[Zhang, Yudong; Wang, Shuihua; Ji, Genlin] Nanjing Normal Univ, Sch Comp Sci & Technol, Nanjing 210023, Jiangsu, Peoples R China.;[Zhang, Yudong; Feng, Chunmei; Wang, Qiong; Yang, Jiquan] Jiangsu Key Lab 3D Printing Equipment & Mfg, Nanjing 210042, Jiangsu, Peoples R China.;[Dong, Zhengchao] Columbia Univ, Translat Imaging Div, New York, NY 10032 USA.;[Dong, Zhengchao] Columbia Univ, MRI Unit, New York, NY 10032 USA.
通讯机构：
[Zhang, Yudong] N;[Zhang, Yudong] J;Nanjing Normal Univ, Sch Comp Sci & Technol, Nanjing 210023, Jiangsu, Peoples R China.;Jiangsu Key Lab 3D Printing Equipment & Mfg, Nanjing 210042, Jiangsu, Peoples R China.
作者机构：
[刘琮; 杨格兰] School of Electronics and Information Engineering, Tongji University, Shanghai, 201804, China;[杨格兰] School of Information Science and Engineering, Hunan City University, Yiang, 413000, China;[邓晓军] College of Computer and Communication, Hunan University of Technology, Zhuzhou, 412007, China
通讯机构：
College of Computer and Communication, Hunan University of Technology, Zhuzhou, China
期刊：
Mathematical Problems in Engineering,2014年2014:1-4 ISSN：1024-123X
通讯作者：
Yang, G.(glyang@mail.ustc.edu.cn)
作者机构：
[Yang G.] College of Information Science and Engineering, Hunan City University, Yiyang 413000, China;[Wu Y.] Department of Electrical and Computer Engineering, Tufts University, Medford, MA 02155, United States;[Cao S.-Q.] Faculty of Mechanical Engineering, Huaiyin Institute of Technology, Huai'an 223003, China
通讯机构：
College of Information Science and Engineering, Hunan City University, China
期刊：
International Journal of Distributed Sensor Networks,2014年10(5):363584 ISSN：1550-1329
通讯作者：
Yang, Gelan(glyang@mail.ustc.edu.cn)
作者机构：
[Yang G.] College of Information Science and Engineering, Hunan City University, Yiyang 413000, China;[Cao S.-Q.] Faculty of Mechanical Engineering, Huaiyin Institute of Technology, Huai'an 223003, China;[Le D.; Jin Y.] School of Computer Science and Engineering, Changshu Institute of Technology, Changshu 215500, China
通讯机构：
[Gelan Yang] C;College of Information Science and Engineering, Hunan City University, Yiyang 413000, China
期刊：
International Review on Computers and Software,2012年7(6):3106-3112 ISSN：1828-6003
通讯作者：
Yang, G.
作者机构：
[Yang, Gelan; Jin, Huixia] School of Information Science and Engineering, Hunan City University, Yiyang, 413000, China;[Du, Hui] School of Mechanical and Electronic Engineering, Zaozhuang University, ZaoZhuang, 277160, China;[Na, Bai] National Mobile Communication Research Laboratory, Southeast University, Nanjing, 210096, China
通讯机构：
School of Information Science and Engineering, Hunan City University, China
