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Application of adaptive filtering algorithm to the stability problem for double crystal monochromator. Part I: Typical filtering algorithms 期刊论文
Nuclear Instruments and Methods in Physics Research, Section A: Accelerators, Spectrometers, Detectors and Associated Equipment, 2023, 卷号: 1048
作者: Y. Bai, X. Gong, Q. Lu, Y. Song, W. Zhu, S. Xue, D. Wang, Z. Peng and Z. Zhang

收藏 | 浏览/下载：0/0 | 提交时间：2024/07/01

Adaptive vibration control method for double-crystal monochromator base on VMD and FxNLMS 期刊论文
Journal of Synchrotron Radiation, 2023, 卷号: 30, 页码: 308-318
作者: Y. Bai, X. Gong, Q. Lu, Y. Song, W. Zhu, S. Xue, D. Wang, Z. Peng and Z. Zhang

收藏 | 浏览/下载：0/0 | 提交时间：2024/07/01

An Adaptive Three-Axis Attitude Estimation Method Based on Multi-Sensor Fusion for Optoelectronic Platform 期刊论文
Applied Sciences-Basel, 2022, 卷号: 12, 期号: 7, 页码: 19
作者: Y. W. Kong; D. P. Tian and Y. T. Wang

收藏 | 浏览/下载：1/0 | 提交时间：2023/06/14

Super-Resolution Reconstruction of Cell Pseudo-Color Image Based on Raman Technology 期刊论文
Sensors, 2019, 卷号: 19, 期号: 19, 页码: 23
作者: Y.F.Yang; M.Zhu; Y.Q.Wang; H.Yang; Y.F.Wu

收藏 | 浏览/下载：1/0 | 提交时间：2020/08/24

Raman spectroscopy,imaging,peak,deep neural network,pseudo-color,surface,safety,Chemistry,Engineering,Instruments & Instrumentation

Extremum Median Filter Map Denoising Algorithm Based on Energy Function 期刊论文
Dianzi Yu Xinxi Xuebao/Journal of Electronics and Information Technology, 2017, 卷号: 39, 期号: 6
作者: Wang, M.; J. Zhao; T. Chen; B. Cui and Y. Gao

收藏 | 浏览/下载：14/0 | 提交时间：2018/06/13

智能视频监控系统中若干关键技术研究 学位论文
博士: 中国科学院大学, 2015
作者: 毕国玲

收藏 | 浏览/下载：160/0 | 提交时间：2015/11/30

智能视频监控图像增强目标检测特征匹配目标跟踪

给予HVS的H.264/AVC码率控制算法研究 学位论文
博士: 中国科学院大学, 2014
孙乐

收藏 | 浏览/下载：45/0 | 提交时间：2014/08/21

Improved adaptive extended Kalman algorithm for attitude estimation of multi-rotor UAV 期刊论文
Guangxue Jingmi Gongcheng/Optics and Precision Engineering, 2014, 卷号: 22, 期号: 12, 页码: 3384-3390
Zhang X.; Bai Y.; Zhao C.-J.; Wang R.-J.; Gong X.; Xu Z.-J.

收藏 | 浏览/下载：18/0 | 提交时间：2015/04/24

Design of adaptive strong tracking and robust Kalman filter 会议论文
Proceedings of the 33rd Chinese Control Conference, CCC 2014, July 28, 2014 - July 30, 2014, Nanjing, China
Song K.; Cong S.; Deng K.; Shang W.; Kong D.; Shen H.

收藏 | 浏览/下载：16/0 | 提交时间：2015/04/27

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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