管业鹏

学历: 博士研究生

职称: 教授

学科专长: 电子信息工程,通信与信息系统

所属学科方向(团队): 智能视频处理

办公室:T821

联系电话: 021-66137268

Email:   ypguan@shu.edu.cn

个人简介(简历)

教授,博士生导师,上海大学智能信息处理学术带头人,全国宝钢优秀教师,上海大学十佳“我心目中的好导师”,教育部学位与研究生教育评估专家,上海市曙光学者,中国体育学会计算机应用分会常委,国家自然基金委、工信部、上海市科委及浙江省科委等评审专家,中国电子学会、计算机学会高级会员,分别收入Who's Who in the World和IBC Leading   Educators of the World,国内外知名学术期刊特邀编辑与评审专家。

科研方向

主要从事大数据科学计算与决策、计算机(机器)视觉与模式识别、智能信息感知与处理、视听觉多模态智能人机交互、智能视频监控与安全防范等领域的研究工作。

在大数据非穿戴智能感知与交互、模式识别、信息处理与挖掘、人体行为分析、视频运动对象语义行为理解等方面,有扎实的研究基础和丰富的经验积累。

本科生教学

《数据结构与算法基础》

《智能信息感知与识别》

《信息与国力》

研究生培养

目前已培养IT行业优秀高级人才数十名,其中部分已成为国企/外企重要岗位与部门的领导和科研骨干。

承担或参与的科研项目

基于人类感知机理的智能指势视觉识别研究(国家自然科学基金)

移动对象异常行为自动识别技术研究(国家自然科学基金)

面向智能人机交互的指势视觉识别关键技术研究(教育部高等学校博士学科点专项科研基金)

临港地区新建海堤堤身探测方法研究(上海市科委海洋重大专项)

砖雕多元信息数据库及应用研究(文化和旅游部基金)

古陶瓷器型数字化及应用研究(文化和旅游部基金)

传统砖雕信息提取及文化解读(上海市教委重大专项基金)

石窟文物本体风化病害评估系统及保护技术研究(科技部“十三五”国家重点研发计划基金)

学术论文及授权发明专利

已发表学术论文百余篇,国家发明专利数十项。主要代表性论文及专利如下:

(一)论文

[1]      Yepeng Guan,   Jun Fang, Xiaoping Wu. Multi-pose face recognition using cascade alignment   network and incremental clustering. Signal, Image and Video Processing, 2020,DOI:   10.1007/s11760-020-01718-z

[2]        Zhang Changqi, Guan Yepeng. Research on related   technologies of vision target tracking based on discrete differential   algorithm for deep learning. Journal of Intelligent & Fuzzy   Systems, 2019, 37(3):3267-3274

[3]        Zhengkui Weng, Yepeng Guan. Trajectory-aware three-stream CNN   for video action recognition. Journal of Electronic Imaging, 2019, 28(2): 021004-1~11

[4]        Liyun Zhuang,Yepeng Guan. Improvement of face   recognition with Gabor, PCA, and SVM under complex illumination conditions.   Journal of Advanced Computational Intelligence and Intelligent Informatics,   2019, 23(3):465-473

[5]        Yepeng Guan, Wenqing Mao. Pedestrian virtual   space based abnormal behavior detection. International Journal of Computer   Science, 2019,46(2): 311-320

[6]        Liyun Zhuang, Yepeng Guan. Improvement of   illumination-insensitive features for face recognition under complex   illumination conditions. The Journal of Engineering, 2018, 2018(12):   1947-1953

[7]        Liyun Zhuang, Yepeng Guan. Adaptive image   enhancement using entropy-based sub-histogram equalization. Computational   Intelligence and Neuroscience, 2018, 2018(1): 1-13

[8]        Zengkui Weng, Yepeng Guan. Action recognition   using length-variable edge trajectory and spatio-temporal motion skeleton   descriptor. EURASIP Journal on Image and Video Processing, 2018, 2018(1):   1-15

[9]        Xun Wang, Yepeng Guan. Research on key   technologies of feature extraction and matching for face recognition. Journal   of Advanced Oxidation Technologies, 2018, 21(2): 201803608

[10]     Shu Yang, Ye-peng. Guan. Audio-visual perception based   multimodal HCI. The Journal of Engineering, 2018, 2018(1): 190-198

[11]     Shu Yang, Ye-peng Guan. Fusion strategy based multimodal   human-computer interaction. International Journal of Computational Vision and   Robotics, 2018, 8(3): 300-317

[12]     Yong Luo, Ye-peng Guan. Adaptive skin detection using face location and facial   structure estimation. IET Computer Vision, 2017,11(7): 550-559

[13]     Liyun Zhuang, Yepeng Guan. Image enhancement via sub-image histogram equalization   based on mean and variance. Computational Intelligence and Neuroscience,   2017, 2017(1): 1-12

[14]     Wangbin Chu, Yepeng Guan. Identity verification based on facial   pose pool and bag of words model. Journal of Advanced Computational   Intelligence and Intelligent Informatics, 2017,21(3): 448-455

[15]     Wen Zhao, Ye-peng Guan. Multimodal information perception based   active human-computer interaction. International Journal of Computer   Applications in Technology, 2017, 56(2): 141-151

[16]     Kang Wei, Ye-peng Guan. Eye-hand coordination based   human-computer interaction. International Journal of Signal Processing,   Image Processing and Pattern Recognition, 2016, 9(10): 205-216

[17]     Yizhen Huang, Yepeng Guan. Learning and intelligence can happen   everywhere, a case study: learning via non-uniform 1D rulers with   applications in image classification and recognition. Multimedia Tools and   Applications, 2017, 76(1): 913-929

[18]     Yizhen Huang, Yepeng Guan. Laplacian hashing for fast   large-scale image retrieval and its applications for midway processing in a   cascaded face detection structure. Multimedia Tools and Applications, 2016,   75(23): 16315-16332

[19]     Yong Luo, Ye-Peng Guan. Enhanced facial texture illumination   normalization for face recognition. Applied Optics, 2015, 54(22): 6887-6894

[20]     Yizhen Huang, Yepeng Guan, Jiawen Wang. Transductive learning   with nonlinear flexibility using trace norm minimization and fixed point   continuation. Journal of Experimental and Theoretical Artificial   Intelligence, 2016, 28(4): 707-718

[21]     Shiyang Xie, Yepeng Guan. Motion instability based unsupervised   online abnormal behaviors detection. Multimedia Tools and Applications, 2016,    75(12): 7423-7444

[22]     Yizhen Huang, Yepeng Guan. Matrix completion with ordering   relation constraints and its applications. International Journal of Pattern   Recognition and Artificial Intelligence, 2015, 29(4): 1551003-1-18

[23]     Yong Luo, Ye-Peng Guan. Structural compensation enhancement   method for nonuniform illumination images. Applied Optics, 2015, 54(10):   2929-2938

[24]     Yepeng Guan, Yizhen Huang. Multi-pose human head detection and   tracking boosted by efficient human head validation using ellipse detection.   Engineering Applications of Artificial Intelligence, 2015, 37(1): 181-193

[25]     Y. Luo, Y.-P. Guan. Motion objects segmentation based on   structural similarity background modeling. IET Computer Vision, 2015, 9(4):   476-488

(二)专利

[1]     管业鹏,仉长崎.视频运动对象异常行为自动检测方法(ZL201310407306.4,授权公告日:2017-03-15)

[2]     管业鹏,潘静.基于虚拟触摸屏的非穿戴指势人机交互方法(ZL201410196648.0,授权公告日:2018-04-06)

[3]     管业鹏,潘静.嘴唇外轮廓提取方法(ZL201210243876.X,授权公告日:2015-07-01)

[4]     管业鹏.非穿戴指势视觉识别方法(ZL201010543788.2,授权公告日:2012-11-07)

[5]     管业鹏,于蕴杰.指示手势的手指尖定位方法(ZL200910198196.9,授权公告日:2011-8-31)

[6]     管业鹏.视频运动阴影检测方法,发明专利(ZL200810032396.2,授权公告日:2010-06-02)

[7]     管业鹏.基于小波多尺度变换视频前景运动对象分割方法,发明专利(ZL200810032390.5,授权公告日:2009-10-28)

其他

热忱欢迎青年才俊为智能信息感知实验室贡献智慧和力量!

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