中国开放科研知识云: 检索

A multiple extended target multi-Bernouli filter based on Gaussian process regression model 期刊论文
Kongzhi Lilun Yu Yingyong/Control Theory and Applications, 2020, 卷号: 37, 期号: 9, 页码: 1931-1943
作者: Chen, Hui; Li, Guo-Cai; Han, Chong-Zhao; Du, Jin-Rui

收藏 | 浏览/下载：25/0 | 提交时间：2020/11/14

Clutter (information theory) Gaussian distribution Gaussian noise (electronic) Kalman filters Regression analysis Set theory Cubature kalman filters Extended target tracking Filtering algorithm Finiteset statistics (FISST) Gaussian process regression Gaussian process regression model Multiple group target tracking Uncertain environments

Distributed event-triggered cubature information filtering based on weighted average consensus 期刊论文
IET CONTROL THEORY AND APPLICATIONS, 2018, 卷号: 12, 页码: 78-86
作者: Tan, Qingke; Dong, Xiwang; Li, Qingdong; Ren, Zhang

收藏 | 浏览/下载：14/0 | 提交时间：2019/12/30

nonlinear filters graph theory set theory mean square error methods estimation error information exchange data transmission mechanism triggering decision nonlinear filtering algorithm data transfer mobile sensor network distributed estimation problem weighted average consensus distributed event-triggered cubature information filtering

An improved Canny edge detection algorithm based on DCT 会议论文
3rd IEEE International Conference on Progress in Informatics and Computing, PIC 2015, Nanjing, China, December 18, 2015 - December 20, 2015
作者: Zhao, Miaomiao; Liu, Hongxia; Wan, Yi

收藏 | 浏览/下载：4/0 | 提交时间：2017/01/18

Edge detection Algorithms Computer vision Image denoising Information science Signal detection Canny algorithm Canny edge detection Canny Operators DCT coefficients Edge information Gaussian filtering Gaussian filters Weak edge information

Multi-step radiographic image enhancement conforming to weld defect segmentation 期刊论文
IET IMAGE PROCESSING, 2015, 卷号: 9, 期号: [db:dc_citation_issue], 页码: 943-950
作者: Dang, Changying; Gao, Jianmin; Wang, Zhao; Chen, Fumin; Xiao, Yulin

收藏 | 浏览/下载：11/0 | 提交时间：2019/12/02

image enhancement image segmentation smoothing methods welding entropy flaw detection edge detection fuzzy set theory automatic optical inspection multistep radiographic image enhancement automatic weld defect segmentation global contrast enhancement algorithm edge intensity linear weighting defect edge preservation radiographic nondestructive testing adaptive equalisers radiography information entropy MSRE contrast limited adaptive histogram equalisation image weighted image smoothing relative segmentation accuracy image filtering fuzzy enhancement algorithm local contrast enhancement algorithm anisotropic diffusion filtering

A recommendation system for paper submission based on vertical search engine 会议论文
3rd International Conference on Computer Engineering and Network, CENet 2013, Shanghai, China, July 20, 2013 - July 21, 2013
作者: Xu, Zhen; Yang, Yi; Wang, Fei; Xu, Jiao; Li, Zhong

收藏 | 浏览/下载：7/0 | 提交时间：2017/01/18

Paper Computer networks Recommender systems Search engines Signal filtering and prediction Tools Content based filtering Context-Aware Filtering algorithm Information collecting Search accuracy Sharing systems Subject-oriented Vertical search engine

A high-speed electrical impedance measurement circuit based on information-filtering demodulation 期刊论文
MEASUREMENT SCIENCE AND TECHNOLOGY, 2014, 卷号: 25
作者: Sun, Shijie; Xu, Lijun; Cao, Zhang; Zhou, Haili; Yang, Wuqiang

收藏 | 浏览/下载：4/0 | 提交时间：2020/01/06

impedance measurement digital demodulator information-filtering algorithm FPGA electrical impedance tomography

Structural damage identification using interval modeling technique based on Neuro-Fuzzy system 会议论文
International Conference on Airworthiness ＆ Fatigue-7th ICSAELS Series Conference, 中国北京/Beijing, China, 2013-03-25
作者: Deng ZM; Zhu FT; Zhang JF(张均锋)

收藏 | 浏览/下载：24/0 | 提交时间：2014/04/02

wavelet real-time filtering algorithm interval modeling technique adaptive Neuro-Fuzzy inference system uncertainty coordinates information fusion

基于多源信息融合的热缺陷监测系统研究 期刊论文
电力系统保护与控制, 2013, 页码: 146-150
作者: 熊军华; 贠超; 王亭岭

收藏 | 浏览/下载：1/0 | 提交时间：2020/01/06

多源信息融合热缺陷红外热像仪无线传感网络自主供电分步式滤波融合算法 multi-source information fusion thermal defect infrared thermal imager wireless sensor network independent power supply step by step filtering fusion algorithm

A feature selection method based on information gain and genetic algorithm 期刊论文
Proceedings - 2012 International Conference on Computer Science and Electronics Engineering, ICCSEE 2012, 2012, 卷号: 2, 页码: 355-358
作者: Lei, Shang

收藏 | 浏览/下载：2/0 | 提交时间：2019/12/23

Feature Selection Genetic Algorithm information filtering Information Gain

The new approach for infrared target tracking based on the particle filter algorithm (EI CONFERENCE) 会议论文
International Symposium on Photoelectronic Detection and Imaging 2011: Advances in Infrared Imaging and Applications, May 24, 2011 - May 24, 2011, Beijing, China
Sun H.; Han H.-X.

收藏 | 浏览/下载：50/0 | 提交时间：2013/03/25

Target tracking on the complex background in the infrared image sequence is hot research field. It provides the important basis in some fields such as video monitoring precision and video compression human-computer interaction. As a typical algorithms in the target tracking framework based on filtering and data connection the particle filter with non-parameter estimation characteristic have ability to deal with nonlinear and non-Gaussian problems so it were widely used. There are various forms of density in the particle filter algorithm to make it valid when target occlusion occurred or recover tracking back from failure in track procedure but in order to capture the change of the state space it need a certain amount of particles to ensure samples is enough and this number will increase in accompany with dimension and increase exponentially this led to the increased amount of calculation is presented. In this paper particle filter algorithm and the Mean shift will be combined. Aiming at deficiencies of the classic mean shift Tracking algorithm easily trapped into local minima and Unable to get global optimal under the complex background. From these two perspectives that "adaptive multiple information fusion" and "with particle filter framework combining" we expand the classic Mean Shift tracking framework.Based on the previous perspective we proposed an improved Mean Shift infrared target tracking algorithm based on multiple information fusion. In the analysis of the infrared characteristics of target basis Algorithm firstly extracted target gray and edge character and Proposed to guide the above two characteristics by the moving of the target information thus we can get new sports guide grayscale characteristics and motion guide border feature. Then proposes a new adaptive fusion mechanism used these two new information adaptive to integrate into the Mean Shift tracking framework. Finally we designed a kind of automatic target model updating strategy to further improve tracking performance. Experimental results show that this algorithm can compensate shortcoming of the particle filter has too much computation and can effectively overcome the fault that mean shift is easy to fall into local extreme value instead of global maximum value.Last because of the gray and fusion target motion information this approach also inhibit interference from the background ultimately improve the stability and the real-time of the target track. 2011 Copyright Society of Photo-Optical Instrumentation Engineers (SPIE).

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