中国科学院机构知识库网格系统: 检索

Space Target Detection in Complicated Situations for Wide-Field Surveillance 期刊论文 OAI收割
Ieee Access, 2019, 卷号: 7, 页码: 123658-123670
作者: M.Y.Li; C.X.Yan; C.H.Hu; C.Y.Liu; L.Z.Xu

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收藏 | 浏览/下载：29/0 | 提交时间：2020/08/24

Space target detection,wide-field surveillance,complicated situations,spatiotemporal pipeline,multistage hypothesis testing (MHT),domain awareness,debris detection,tracking,algorithm,objects,Computer Science,Engineering,Telecommunications

Simulation Design of Space Target Tracking System based on Radial Motion Principle 会议论文 OAI收割
Nanjing, PEOPLES R CHINA, 2017-10-24
作者: Yang, Yong-qing; Liu, Peng; Shen, Wen-ji; Han, Jun-feng; Liu, P (reprint author), Chinese Acad Sci, Xian Inst Opt & Precis Mech, Xian 710119, Shaanxi, Peoples R China.

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收藏 | 浏览/下载：33/0 | 提交时间：2018/07/05

Radial Motion Principle Space Target Tracking In-orbit Test Semi-physical Simulation

High-sensitivty detection of space targets at close range 期刊论文 OAI收割
Guangxue Jingmi Gongcheng/Optics and Precision Engineering, 2018, 卷号: 26, 期号: 4, 页码: 825-833
作者: Yang, Xiu-Bin; Liu, Chun-Yu; Fan, Guo-Wei; Chang, Lin; Wang, Min

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收藏 | 浏览/下载：20/0 | 提交时间：2019/09/17

Signal to noise ratio Attitude control Cameras CMOS integrated circuits Display devices Sliding mode control Space surveillance Target tracking

Multi-Camera Multi-Target Tracking with Space-Time-View Hyper-graph 期刊论文 OAI收割
INTERNATIONAL JOURNAL OF COMPUTER VISION, 2017, 卷号: 122, 期号: 2, 页码: 313-333
作者: Wen, Longyin; Lei, Zhen; Chang, Ming-Ching; Qi, Honggang; Lyu, Siwei

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收藏 | 浏览/下载：37/0 | 提交时间：2017/07/18

Multi-camera Multi-target Tracking Single-camera Multi-target Tracking Space-time-view Hyper-graph Dense Sub-hypergraph Search

An Improved Real-time Visual Tracking Method for Space Non-cooperate Target 会议论文 OAI收割
International Symposium on Infrared Technology and Application and the International Symposiums on Robot Sensing and Advanced Control, Beijing, May 9-11, 2016
作者: Zhang LM(张丽敏); Zhu F(朱枫)

收藏 | 浏览/下载：26/0 | 提交时间：2016/09/13

visual tracking space non-cooperate target 3D model false matches sampled points local region similarity

Reentry guidance based on feedback linearization (EI CONFERENCE) 会议论文 OAI收割
2011 International Conference on Electronics, Communications and Control, ICECC 2011, September 9, 2011 - September 11, 2011, Ningbo, China
Li D.-W.

收藏 | 浏览/下载：30/0 | 提交时间：2013/03/25

This paper presents a new reentry guidance algorithm for RLV (Reusable Launching Vehicle). The algorithm consists of two integrated components: trajectory planning algorithm and tracking algorithm. The most striking feature of algorithm here lies in that both planning and tracking are executed directly in height-velocity space which is different from the methodology of configuration of drag in traditional shuttle guidance. In the session of trajectory planning all trajectory constraints can be expressed with upper bound and lower bound in height-velocity space then a linear interpolation is carried to search the nominal trajectory satisfying the requirement of downrange and target constraints. Then the tracking algorithm uses feedback linearization method to track this nominal profile and meet all constraints. Another typical feature of this algorithm is the strategy of downrange extension using FPA (flight path angle) controller to fulfill the requirement of large downrange. Proper combination of planning-tracking algorithm and FPA controller can bring great flexibility and adaptability to reentry guidance. The algorithm is proved to be robust enough to accommodate the model error and noises in the dynamics. 2011 IEEE.

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

收藏 | 浏览/下载：60/0 | 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).

Adaptive resolution storage system based on LOG-POLAR transform for multi-target trackers (EI CONFERENCE) 会议论文 OAI收割
2010 International Conference on Computer Application and System Modeling, ICCASM 2010, October 22, 2010 - October 24, 2010, Shanxi, Taiyuan, China
作者: Zhang Y.

收藏 | 浏览/下载：22/0 | 提交时间：2013/03/25

The main constrained problem of the video monitoring and storage system is the contradiction between large field of view and storage space limitations. Not all of the video information introduced by the image sensors need to be recorded especially for some tracking system which has appointed functions to track specifically kinds of targets. For instance the system not only works for single target if the monitor is appointed for human face tracking but also can work for multi-targets. High reconstruction resolution in the fovea region enables the successive application of recognition modules without sacrificing their performance the best system appears to be concentrating on human face only and all the others considered being background the low reconstruction resolution in the periphery helps to reduce the video data. 2010 IEEE. the background regions needn't to be recorded in detail. For this purpose this letter presents a real-time foveate storage system which efficiently represents the video image in log-polar coordinates with the foveate point centered on the target

A segment detection method based on improved Hough transform (EI CONFERENCE) 会议论文 OAI收割
ICO20: Optical Information Processing, August 21, 2005 - August 26, 2005, Changchun, China
作者: Yao Z.-J.

收藏 | 浏览/下载：26/0 | 提交时间：2013/03/25

Hough transform is recognized as a powerful tool in shape analysis which gives good results even in the presence of noise and the disconnection of edge. However 3. applying the standard Hough transform equation to every point of the input image edge 4. according to the local threshold 6. merging the segments whose extreme points are near. Experiment results show the approach not only can recognize regular geometric object but also can extract the segment feature of real targets in complex environment. So the proposed method can be used in the target detection of complicated scenes traditional Hough transform can only detect the lines 2. quantizing the parameter space and extracting a group of maximums according to the global threshold eliminating spurious peaks which are caused by the spreading effects and will improve the precision of tracking. cannot give the endpoints and length of the line segments and it is vulnerable to the quantization errors. Based on the analysis of its limitations Hough transform has been improved in order to detect line segment feature of targets. The algorithm aims to avoid the loss of spatial information as well as to eliminate the spurious peaks and fix on the line segments endpoints accurately 5. fixing on the endpoints of the segments according to the dynamic clustering rule which can expediently be used for the description and classification of regular objects. The method consists of 6 steps: 1. setting up the image parameter and line-segment spaces

Analysis of the disturbance of remote aerial detector induced by laser (EI CONFERENCE) 会议论文 OAI收割
High-Power Lasers and Applications III, November 8, 2004 - November 11, 2004, Beijing, China
作者: Zhou J.; Fu Y.; Guo J.; Guo J.

收藏 | 浏览/下载：42/0 | 提交时间：2013/03/25

It is important to study the interaction effect between laser and photoelectric detector. In most of the laser detecting systems laser must irradiate the photoelectric detector. The detector will be saturated or damaged easily if the fluence of the laser is higher than the saturation threshold of the detector. Now many photoelectric detectors are used in space. To achieve their interaction "Cat's eye" effect is applied to find and locate the remote aerial detector by laser. The possibility and mechanism of disturbance to remote aerial detector induced by laser are analyzed and the factors of influence are also analyzed. The fluence of laser on the photoactive area of remote aerial detector is estimated. With two samples of CCD and TV tracking system the mechanism of soft damage to CCD and TV tracking system induced by laser are introduced. The saturation of CCD and crosstalk of CCD are the main reasons of disturbance. When the tracking system is used in wave-door tracking mode it will lose its tracking target if the saturation or crosstalk of CCD can enter into wave-door. At last the influence to disturbance induced by atmosphere effect is also analyzed.