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Region-Based Compressive Networked Storage with Lazy Encoding 期刊论文
IEEE Transactions on Parallel & Distributed Systems, 2019, 卷号: Vol.30 No.6, 页码: 1390-1402
作者:  Zhou, SW;  He, Y;  Xiang, SZ;  Li, KQ;  Liu, YH
收藏  |  浏览/下载:66/0  |  提交时间:2019/12/13
Combined optimisation of waveform and quantisation thresholds for multistatic radar systems 期刊论文
IET SIGNAL PROCESSING, 2018, 卷号: 12, 期号: 5, 页码: 559-565
作者:  Zhu, Jiang;  Ji, Daxiong;  Xu, Zhiwei;  Si, Bailu
收藏  |  浏览/下载:3/0  |  提交时间:2021/02/02
Optimized compression technology for spatial data network transmission 期刊论文
Journal of Discrete Mathematical Sciences and Cryptography, 2018, 卷号: 21, 期号: 2, 页码: 557-562
作者:  Hu, Rui-Peng;  Huang, Chun-Xiong
收藏  |  浏览/下载:2/0  |  提交时间:2019/12/27
A Heuristically Optimized Partitioning Strategy on Elias-Fano Index 会议论文
作者:  Song, Xingshen;  Jiang, Kun;  Yang, Yuexiang
收藏  |  浏览/下载:4/0  |  提交时间:2019/11/26
Fractal image coding algorithm using particle swarm optimisation and hybrid quadtree partition scheme 期刊论文
IET IMAGE PROCESSING, 2015, 卷号: 9, 页码: 153-161
作者:  Wang Xing-Yuan;  Zhang Dou-Dou;  Wei Na
收藏  |  浏览/下载:3/0  |  提交时间:2019/12/09
Research on Storage and Retrieval Method of Mass Data for High-speed Train 会议论文
11th International Conference on Computational Intelligence and Security (CIS), Shenzhen, PEOPLES R CHINA, 2015-12-19
作者:  Wang, Bin;  Li, Fan;  Hei, Xinhong;  Ma, Weigang;  Yu, Lei
收藏  |  浏览/下载:2/0  |  提交时间:2019/12/20
PET Protection Optimization for Streaming Scalable Videos With Multiple Transmissions 期刊论文
ieee transactions on image processing, 2013
Xiong, Ruiqin; Taubman, David S.; Sivaraman, Vijay
收藏  |  浏览/下载:7/0  |  提交时间:2015/11/10
Cervical ossification of the posterior longitudinal ligament: Anterior versus posterior approach 期刊论文
http://dx.doi.org/10.4103/0019-5413.91642, 2012
Lin, Dasheng; Ding, Zhenqi; Lian, Kejian; Hong, Jiayuan; Zhai, Wenliang; 林达生; 丁真奇; 练克俭; 翟文亮
收藏  |  浏览/下载:3/0  |  提交时间:2015/07/22
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).  
Multiwavelet compression for the boundary integral equation on an open wedge 期刊论文
ENGINEERING ANALYSIS WITH BOUNDARY ELEMENTS, 2011, 卷号: 35, 期号: [db:dc_citation_issue], 页码: 298-302
作者:  Gao, Jing;  Jiang, Yao-Lin
收藏  |  浏览/下载:3/0  |  提交时间:2019/12/10


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