机构

• 高能物理研究所 [4]
• 长春光学精密机械与物... [2]
• 近代物理研究所 [1]

采集方式

• OAI收割 [7]

内容类型

• 期刊论文 [5]
• 会议论文 [2]

发表日期

• 2016 [1]
• 2013 [1]
• 2011 [1]
• 2008 [1]
• 2007 [2]
• 2006 [1]
• 更多

学科主题

• Physics [2]

筛选

浏览/检索结果: 共7条，第1-7条 帮助 条数/页： 5101520253035404550556065707580859095100 排序方式： 请选择题名升序题名降序提交时间升序提交时间降序作者升序作者降序发表日期升序发表日期降序 Track segment finding with CGEM-IT and matching to outer drift chamber tracks in the BESIII detector 期刊论文  OAI收割 CHINESE PHYSICS C, 2016, 卷号: 40, 期号: 9 作者:  Sun XH(孙新华);  Wang LL(王亮亮);  Wu LH(伍灵慧);  Ju XD(鞠旭东);  Xiu QL(修青磊)   |  收藏  |  浏览/下载：40/0  |  提交时间：2017/07/27 CGEM-IT  track segment finding  track matching   An extended segment pattern dictionary for a pattern matching tracking algorithm at BESIII 期刊论文  OAI收割 Chinese Physics C, 2013, 期号: 6, 页码: 72-78 作者:  Ma ZL(马长利);  Zhang Y(张瑶);  Yuan Y(袁野);  Lv XR(吕晓睿);  Zheng YH(郑阳恒) 收藏  |  浏览/下载：63/0  |  提交时间：2015/12/21 drift chamber  track reconstruction  pattern matching  pattern dictionary   Numerical optimization and multi-particle dynamics simulation of the radial matching section of the RFQ 期刊论文  OAI收割 CHINESE PHYSICS C, 2011, 卷号: 35, 页码: 964-968 作者:  Chang Wei;  Xia Jia-Wen;  Zhao Hong-Wei;  Yue Wei-Ming;  Li Chao   |  收藏  |  浏览/下载：24/0  |  提交时间：2016/03/29 radial matching section  optimization  ABC code  BEAMPATH code  TRACK code   Mean shift tracking combining SIFT (EI CONFERENCE) 会议论文  OAI收割 2008 9th International Conference on Signal Processing, ICSP 2008, October 26, 2008 - October 29, 2008, Beijing, China 作者:  Xue C. 收藏  |  浏览/下载：66/0  |  提交时间：2013/03/25 A novel visual tracking algorithm to cope with occlusion and scale variation is proposed. This method combines mean shift and SIFT algorithm to track object. SIFT algorithm is invariant to rotation  translation and scale variation. But it is a timeconsuming algorithm. The wasting time is related to image size. So the proposed algorithm first adopts mean shift to initially locate object position  then SIFT operator is used to detect features in object area and model area  lastly  the proposed method matches features in these two areas and calculates the relationship between them using affine transform. According to affine transform parameters  the state of object can be adjusted in time. In order to reduce process time  an improved feature matching algorithm is proposed in this paper. Experiments show that the proposed algorithm deals with occlusion successfully and can adjust object size in time. 2008 IEEE.   Pattern-matching track reconstruction for the BES III main Drift Chamber 期刊论文  OAI收割 HIGH ENERGY PHYSICS AND NUCLEAR PHYSICS-CHINESE EDITION, 2007, 卷号: 31, 期号: 6, 页码: 570-575 作者:  Zhang, Y;  Zhang, XY;  Li, WD 收藏  |  浏览/下载：27/0  |  提交时间：2016/06/28 BES III  track reconstruction  pattern matching  track fitting   BESIII track extrapolation and matching 期刊论文  OAI收割 HIGH ENERGY PHYSICS AND NUCLEAR PHYSICS-CHINESE EDITION, 2007, 卷号: 31, 期号: 2, 页码: #REF! 作者:  Wang LL(王亮亮);  Yuan ZZ(苑长征);  Ma QM(马秋梅);  Ma X(马想);  Wang DY(王大勇) 收藏  |  浏览/下载：18/0  |  提交时间：2016/04/12 track extrapolation  GEANT4  multiple scattering  track matching   Intersectant multi-target serial number fuzzy match by multi-parameters (EI CONFERENCE) 会议论文  OAI收割 ICO20: Optical Information Processing, August 21, 2005 - August 26, 2005, Changchun, China 作者:  Wang Y.-J. 收藏  |  浏览/下载：158/0  |  提交时间：2013/03/25 In order to match the intersectant targets' tab when these objects separate  a kind of method that makes use of fuzzy multi-parameter to match targets is proposed. Multi-parameters include the forecasted position after targets separate  target speed  target size and geometry shape  and different parameter corresponds to different influence coefficient  evaluate the integrated matching coefficient that every observation target corresponds to forecasted target  and the corresponding relationship that matching coefficient is the biggest is the best matching result. In order to locate the position and speed of forecasted target  a new method of track forecast is proposed  firstly  Hough transform is used to the object's track before objects intersect  by this  the object's positions that the warp between forecasted location and observation location is large enough is eliminated  then least square method is used for track forecast by the remainder valid positions  and get hold of the forecasted position when objects separate. The experiment results show: when tracking the bulky objects which intersect and separate  the right identification probability of traditional least square method is 87.5%  and the right identification probability of fuzzy match by multi-parameters can attain 96%  the reliability improves in evidence.