中国科学院机构知识库网格系统: 检索

Research of ballistic missile early warning system (EI CONFERENCE) 会议论文 OAI收割
2nd International Conference on Advanced Engineering Materials and Technology, AEMT 2012, July 6, 2012 - July 8, 2012, Zhuhai, China
Zhang M.-H.; Zhang Y.-Y.

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To develop a lift early warning infrared device as a part of land or boat (ship) early warning system the system has the ability to target pre-discovery and instructions invasion. Methods: In support of distant air situation alerts the enemy aircraft missiles and other long-range goals obtain the target type and preliminary judgment of grade deliver the alarm information to the command system. The infrared alarm device detects the target's own infrared radiation passively alarms the incoming targets at low altitude and low altitude remote when radar and other equipment is out of work. Results: The accuracy of entire system reached 20 according the analysis. Conclusions: The device has a full range of complex background with high sensitivity high resolution anti-jamming fast response time and other characteristics. (2012) Trans Tech Publications Switzerland.

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.

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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).

Research on moving target tracking scene simulation technology under battlefield complicated environment based on Vega (EI CONFERENCE) 会议论文 OAI收割
4th International Congress on Image and Signal Processing, CISP 2011, October 15, 2011 - October 17, 2011, Shanghai, China
Wang S.; Wei Y.-J.

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In order to better simulate the real environment of the battlefield which has moving-target and the complicated background and to simulate the tracking process of the target with 3d's simulation. This paper introduce a development platform of the Vega 3d simulation software and how to use the Vega to simulate the complex battlefield background which has the sky the explosion effects in the ground the fly parameters of fighter planes. It reappear a complete process which contains capturing target and tracking target. Experiment indicate that the Vega development platform is convenient and fast and can achieved the design parameters for the task's demands. It also has many advantages that contains repeating the performance of real experiment and reducing the expenses of the military experiment. 2011 IEEE.

Research on infrared dim-point target detection and tracking under sea-sky-line complex background (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: Dong Y.-X.; Zhang H.-B.; Li Y.; Li Y.

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Target detection and tracking technology in infrared image is an important part of modern military defense system. Infrared dim-point targets detection and recognition under complex background is a difficulty and important strategic value and challenging research topic. The main objects that carrier-borne infrared vigilance system detected are sea-skimming aircrafts and missiles. Due to the characteristics of wide field of view of vigilance system the target is usually under the sea clutter. Detection and recognition of the target will be taken great difficulties.There are some traditional point target detection algorithms such as adaptive background prediction detecting method. When background has dispersion-decreasing structure the traditional target detection algorithms would be more useful. But when the background has large gray gradient such as sea-sky-line sea waves etc.The bigger false-alarm rate will be taken in these local area.It could not obtain satisfactory results. Because dim-point target itself does not have obvious geometry or texture feature in our opinion from the perspective of mathematics the detection of dim-point targets in image is about singular function analysis.And from the perspective image processing analysis the judgment of isolated singularity in the image is key problem. The foregoing points for dim-point targets detection its essence is a separation of target and background of different singularity characteristics.The image from infrared sensor usually accompanied by different kinds of noise. These external noises could be caused by the complicated background or from the sensor itself. The noise might affect target detection and tracking. Therefore the purpose of the image preprocessing is to reduce the effects from noise also to raise the SNR of image and to increase the contrast of target and background. According to the low sea-skimming infrared flying small target characteristics the median filter is used to eliminate noise improve signal-to-noise ratio then the multi-point multi-storey vertical Sobel algorithm will be used to detect the sea-sky-line so that we can segment sea and sky in the image. Finally using centroid tracking method to capture and trace target. This method has been successfully used to trace target under the sea-sky complex background. 2011 Copyright Society of Photo-Optical Instrumentation Engineers (SPIE).

Conditional random field for text segmentation from images with complex background 期刊论文 OAI收割
PATTERN RECOGNITION LETTERS, 2010, 卷号: 31, 期号: 14, 页码: 2295-2308
作者: Li, Minhua; Bai, Meng; Wang, Chunheng; Xiao, Baihua

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Conditional random field (CRF) Text segmentation Complex background Local information Contextual label information

Scene matching based on directional keylines and polar transform (EI CONFERENCE) 会议论文 OAI收割
2010 IEEE 10th International Conference on Signal Processing, ICSP2010, October 24, 2010 - October 28, 2010, Beijing, China
作者: Wang Y.; Wang Y.; Wang Y.; Wang Y.; Wang Y.

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Scene matching under complex background is a priority and difficulty in the field of computer vision it has the characteristics of rotation and scaling invariance commonly used in matching real-time collected images and photos for navigation. Scene matching techniques are faced with complex natural scenes anti-light and anti-slight-distortion the image distortion exist applicable for complex scene matching. The project has a new idea: combining the keylines with the vectors description based on polar image translation such as light and utilize the rotation-scale-invariance vectors to describe the extracted keylines change of gray levels this method includes three steps: keylines extraction perspective description and matching. Preliminary experiments show that this keylines-based scene matching algorithm is applicable for image matching under complex background. 2010 IEEE. scaling and other differences which cause matching difficult. This paper aims to find a scene matching algorithm

Adaptive segmentation algorithm for ship target under complex background (EI CONFERENCE) 会议论文 OAI收割
2010 3rd International Conference on Advanced Computer Theory and Engineering, ICACTE 2010, August 20, 2010 - August 22, 2010, Chengdu, China
Wang A.-B.; Wang C.-X.; Su W.-X.; Dong Y.-F.

收藏 | 浏览/下载：25/0 | 提交时间：2013/03/25

Segmentation of ship target under complex background has important research significance in long-range ship tracking and identification and an adaptive segmentation algorithm is proposed according to background images with different complexity. Local complexity of image is first calculated in this algorithm and then the original image is preprocessed with different de noising methods according to local complexity finally the image is binarized based on local complexity and the target is segmented. The experiment results indicate that the algorithm is adaptive and can meet the requirements of real-time processing which lays a foundation for ship target detection under complex background. 2010 IEEE.

复杂背景下的目标实时分割与检测 学位论文 OAI收割
工学博士, 中国科学院自动化研究所: 中国科学院研究生院, 2009
作者: 吴晓雨

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交互式分割实时目标分割实时目标检测背景建模图切复杂背景 interactive segmentation real-time object segmentation real-time object detection background modeling graph cut complex scene

Analysis of applying SBUVICCD to corona detection (EI CONFERENCE) 会议论文 OAI收割
International Symposium on Photoelectronic Detection and Imaging 2007 - Laser, Ultraviolet, and Terahertz Technology, September 9, 2007 - September 12, 2007, Beijing, China
作者: Yan F.; Yang H.; Zhao Y.; Zhao Y.; Zhao Y.

收藏 | 浏览/下载：25/0 | 提交时间：2013/03/25

Using solar blind ultraviolet (SBUV) spectral light imaging technology to detect corona is a kind of advanced technology this time. Corona can be detected and imaged by using solar blind ultraviolet intensifier charge coupled device (SBUVICCD) without complex background to be processed. In this paper how to use ICCD to detect corona was analyzed. Imaging process of Gen II SBUVICCD was introduced and what will be noted during design instruments based on SBUVICCD to detect corona was also discussed. Some methods for deciding corona discharge level by using images from SBUVICCD were discussed sequentially. Finally some corona pictures taken by using SBUVICCD were shown and expressed to support the items mentioned above. The result shows that SBUVICCD is suitable for corona detection in site.

Detecting of multi-target in sea or sky background based on wavelet energy (EI CONFERENCE) 会议论文 OAI收割
Advanced Sensor Systems and Applications II, November 8, 2004 - November 12, 2004, Beijing, China
作者: Liu G.

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The technology of multi-target tracking is always detecting small targets in complex background. According to the frequency characteristic of nature background and small target a method of detecting targets based on wavelet energy is suggested. The energy of targets in horizontal and vertical direction outclass that of background or we can say the gray degree of targets outclass that of background. Then through selecting adaptive region-value targets and background can be divided. By the method of classifying the figure centers of every target can be calculated. According to the figure centers of every target in several neighboring frames the position and velocity of every target in next frame can be estimated by Kalman filter. Experiment results have shown that small targets in sea or sky nature background can be detected by this method and they can be tracking.