个人简历

教育背景
2008.09~2012.12，中国石油大学（华东），控制理论与控制工程，博士，导师：王延江
2000.09~2002.12，山东大学，控制理论与控制工程，硕士，导师：刘常春
1996.09~2000.07，山东工业大学，电气技术（师范），学士
工作背景
2003.04~今，中国石油大学（华东），信息与控制工程学院，电子信息工程系

研究领域

模式识别、计算机视觉等

近期论文

[1]Yanjiang Wang, Yujuan Qi.Memory-based Cognitive Modeling for Robust Object Extraction and Tracking. Applied Intelligence, 2013,39(13):614-629. [ EI:20133916770673, UT WOS: 000324107400011](通讯作者)
[2]Yanjiang Wang,Yujuan Qi. Memory-based Multi-Agent Modeling for Robust Moving Object Tracking. The Scientific World Journal, Volume 2013, Article ID 793013, 13 pages,http://dx.doi.org/10.1155/2013/793013 [ UT WOS:000321360100001] (通讯作者)
[3]齐玉娟,王延江,李永平.基于记忆的混合高斯背景建模[J].自动化学报, 2010, 36(11):1520-1526. [EI :20105013489733]
[4]王延江，李蕙，齐玉娟. 一种受人脑三阶段记忆机制启发的鲁棒运动目标跟踪方法.电子学报，OCT. 2017，45（9）：2065-2070 [EI：20174404325845]（通讯作者）
[5]齐玉娟，牛潇然，王延江. 基于人类记忆机制的码本建模方法研究[J].中国石油大学学报（自然科学版），2015，39（4）：178-184。[EI:20153401187923]
[6]齐玉娟,王延江.基于人类记忆模型的粒子滤波鲁棒目标跟踪算法[J].模式识别与人工智能, 2012, 25(5):810-816.[EI: 20125115818466]
[7]Yujuan Qi, Yanjiang Wang. Memory-based Template Updating for Robust Object Tracking by Mean-shift[J].International Journal of Advancements in Computing Technology, 2012,4(13):378-389.[EI :20123515378579]
[8]齐玉娟,王延江. 一种基于混合高斯的双空间自适应背景建模方法[J].中国石油大学学报（自然科学版）,2012, 36(5):175-178.[ EI:20124815732337]
[9]齐玉娟，王延江，基于记忆的多智能体鲁棒运动目标跟踪建模.山东科技大学学报（自然科学版），2013，32（3）：22-27
[10]王延江,齐玉娟.基于人类记忆机制的视觉信息处理认知建模[J]. 模式识别与人工智能, 2013,26(2): 144-150.
[11]Yujuan Qi, Yanjiang Wang. Human Memory Inspired Gaussian Mixture Background Modeling for Dynamic Scenes with Sudden Partial Changes[J]. International Journal of Digital Content Technology and its Applications, 2013,7(1):74-84.
[12]Yanjiang Wang, Yujuan Qi. Psychologically Inspired Information Storage and Retrieval Modeling based on the Three-Stage Memory Mechanism of Human Brian[J]. Journal of Computational Information Systems, 2013,9(4):1473-1481.[EI:20131516191876]
[13]李永平,王延江,齐玉娟. 基于多智能体协同进化的粒子滤波目标跟踪算法[J]. 模式识别与人工智能,2011,24(1):57-63. [EI: 20111713935681]
[14]Yujuan Qi, Yanjiang Wang, Tingting Xue. Brain Memory Inspired Template Updating Modeling for Robust Moving Object Tracking Using Particle Filter[A].Proceedings of BICS[C], 2012, Lecture Notes in Artificial Intelligence (LNAI :7366), Shenyang, China, 2012.07.11-14. [EI:20123515371761]
[15]Yujuan Qi，Yanjiang Wang, Xiaoran Niu, Spinning Tri-Layer-Circle Memory Modeling for Template Updating During Moving Object Tracking[A], Proc. Of 2014 IEEE International Conference on Systems, Man, and Cybernetics[C], October 5-8, 2014, San Diego, CA, USA:2877-2882[EI:20153101092892]
[16]Yujuan Qi, Li Hui, Yanjiang Wang, Baodi Liu. Spinning Tri-Layer-Circle Memory-based Gaussian Mixture Model for Background Modeling. Proc. Of 2016 13th International Conference on Signal Processing (ICSP2016), Nov. 6-10, 2016, Chengdu, Sichuan, China, pp. 943-948[EI:20171403516704]
[17]Yujuan Qi,Yanjiang Wang, Yuchi Liu. Object Tracking Based on Deep CNN Feature and Color Feature. Proc. Of 2018 14th International Conference on Signal Processing (ICSP2018), Aug. 12-16, 2018, Beijing, China, pp. 469-473.
[18]Shuangkang Fang,Yujuan Qi.A Target Tracking Method based on Particle Filter and Multi-feature Fusion. Proc. Of 2018 14th International Conference on Signal Processing (ICSP2018), Aug. 12-16, 2018, Beijing, China, pp. 464-468.
[19]Xiaoran Niu, Yanjiang Wang, Yujuan Qi. Memory-based particle filter for real time object tracking[A],proceedings of 2014 IEEE Conference on Signal Processing[C], 2014,vol.1, October 19-23, 2014 ，Hangzhou, China，pp909-912. [EI:20153101078010]
[20]Xiaoran Niu, Yanjiang Wang, Yujuan Qi. Memory-based codebook model for real-time object detection[A],proceedings of 2014 IEEE Conference on Signal and Processing[C],2014,vol.1, October 19-23, 2014, Hangzhou, China, pp.913-917. [EI:20153101078449]