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A shadow resistant tracking method for outdoor scene 会议论文
29th Chinese Control and Decision Conference, CCDC 2017, Chongqing, China, May 28-30, 2017
作者:  Meng, Guanglei;  Tian JD(田建东);  Zhu LL(朱琳琳);  Yu, Mingyue
收藏  |  浏览/下载：26/0  |  提交时间：2017/09/12
Spaceborne SAR attitude steering method for smart imaging mode 期刊论文
ELECTRONICS LETTERS, 2017, 卷号: 53, 页码: 428-430
作者:  Yang, Wei;  Ma, Xiao-Cong;  Liu, Wei;  Chen, Jie
收藏  |  浏览/下载：4/0  |  提交时间：2019/12/30
Integrated Low-Rank-Based Discriminative Feature Learning for Recognition 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2016
Zhou, Pan; Lin, Zhouchen; Zhang, Chao
收藏  |  浏览/下载：6/0  |  提交时间：2017/12/03
Lighting virtual objects in a single image via coarse scene understanding 期刊论文
SCIENCE CHINA-INFORMATION SCIENCES, 2014, 卷号: 57, 页码: 1-14
作者:  Chen XiaoWu;  Jin Xin;  Wang Ke
收藏  |  浏览/下载：5/0  |  提交时间：2020/01/06
Illumination analysis of outdoor scene images 期刊论文
ICIC Express Letters, 2013, 卷号: 7, 期号: 3 B, 页码: 1081-1086
作者:  Zhang, Rui;  Zhong, Fan;  Qin, Xueying
收藏  |  浏览/下载：2/0  |  提交时间：2019/12/23
Online illumination estimation of outdoor scenes based on videos containing no shadow area 期刊论文
Science China(Information Sciences), 2013, 卷号: 56, 期号: 3, 页码: 5-15
作者:  XING GuanYu;  ZHOU XueHong;  LIU YanLi;  QIN XueYing;  PENG QunSheng
收藏  |  浏览/下载：11/0  |  提交时间：2019/12/23
Edge-color-histogram and Kalman filter-based real-time object tracking 期刊论文
2010, 2010
Liu Weijin; Zhang Yujin
收藏  |  浏览/下载：6/0
The calibration of faint simulation star magnitude based on single photon count technique (EI CONFERENCE) 会议论文
International Symposium on Photoelectronic Detection and Imaging 2009: Advances in Imaging Detectors and Applications, June 17, 2009 - June 19, 2009, Beijing, China
Gan X.-J.; Guo J.; Xu S.-Y.
收藏  |  浏览/下载：22/0  |  提交时间：2013/03/25
A calibration method of faint star magnitude of the star scene simulation device is proposed in this paper. In the research of simulation star magnitude  luminometers and CCD devices are the general calibration devices which are used to measure the illumination intensity and calibrate its magnitude. But if the simulation magnitude is only sixth magnitude  its illumination intensity is only 1.010-8 Lux. This illumination intensity level is the lowest illumination intensity that the commercial luminometer can detect. Hence the simulation star magnitude lower than six magnitude cannot be calibrated by luminoters. Likewise CCD devices also need an additive cooler in this case. When the single photon characteristic is presented due to the low luminosity of simulating light sources  the simulation star magnitude can be calibrated by detecting its photon flux of radiation with the method of single photon count. In this paper the detection principle of single photon based on a compact designed PMT detecting of the radiation level of simulation star magnitude is advanced. Especially a spectrum match method is proved theoretically to be an effective means for selecting PMT photosensitive type. In the case of the detection object of the simulation star in visible wavelength  a analysis indicates that the material of tri-alkali cathode materials its best choice after being compared the Signal-to-Noise of photon detector of several PMT photosensitive materials based on the different spectrum match ratio of different object light sources and different cathode materials. An experiment is employed to show the relationship of control voltage of PMT and its dark counter  the relationship of the environment temperature of PMT and its dark counter  which proves its only decades of CPS at room temperature. The so low dark counter avoids a bulky cooler and is convenient for installing it on the star scene simulation equipment. Finally in the experiment of calibrating the simulation star magnitudes the ability of its calibration is confirmed to reaches up to 12m  meanwhile its calibration error is within 0.2m. 2009 SPIE.  
Target track system design based on circular projection (EI CONFERENCE) 会议论文
ICO20: Optical Information Processing, August 21, 2005 - August 26, 2005, Changchun, China
Song H.-J.; Zhu M.; Hu S.; Shen M.-L.
收藏  |  浏览/下载：15/0  |  提交时间：2013/03/25
Template matching is the process of searching the present and the location of a reference image or an object in a scene image. Template matching is a classical problem in a scene analysis: given a reference image of an object  decide whether that object exists in a scene image under analysis  and find its location if it does. The template matching process involves cross-correlating the template with the scene image and computing a measure of similarity between them to determine the displacement. The conventional matching method used the spatial cross-correlation process which is computationally expensive. Some algorithms are proposed for this speed problem  such as pyramid algorithm  but it still can't reach the real-time for bigger model image. Moreover  the cross-correlation algorithm can't be effective when the object in the image is rotated. Therefore  the conventional algorithms can't be used for practical purpose. In this paper  an algorithm for a rotation invariant template matching method based on different value circular projection target tracking algorithm is proposed. This algorithm projects the model image as circular and gets the radius and the sum of the same radius pixel value. The sum of the same radius pixel value is invariable for the same image and the any rotated angle image. Therefore  this algorithm has the rotation invariant property. In order to improve the matching speed and get the illumination invariance  the different value method is combined with circular projection algorithm. This method computes the different value between model image radius pixel sum and the scene image radius pixel sum so that it gets the matching result. The pyramid algorithm also is been applied in order to improve the matching speed. The high speed hardware system also is been design in order to meet the real time requirement of target tracking system. The results show that this system has the good rotate invariance and real-time property.  

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