裴明涛,博士

 

 

 

 

 

通讯地址: 北京理工大学计算机科学与技术学院

邮政编码: 100081

Email:  peimt@bit.edu.cn

北京理工大学计算机学院副教授,博士生导师,中国计算机学会会员,中国计算机学会普适计算专委会委员,中国图象图形学会多媒体专委会委员。主要科学研究方向为计算机视觉和模式识别。在IEEE TIP、CSVT、CVIU等重要国际刊物和ICCV、AAAI、ICME等重要国际会议上发表学术论文40余篇,获国家发明专利3项。

 主要教学

     研究生课程《Computer Vision》,秋季课程

     本科生课程《C语言程序设计》,秋季课程

 主要研究方向

     物体检测与识别,行为检测与识别,运动检测及目标跟踪

 代表性学术成果

For a complete list, please see my Google Scholar page.

期刊论文

[1] Zhen Dong, Mingtao Pei, Yunde Jia, Orthonormal dictionary learning and its application to face recognition, Image and Vision Computing , Vol 51,pp: 13–21, 2016.

[2] Zhao Liu, Yi Xie, Mingtao Pei, Yunde Jia, Tracking Pedestrian with Multi-Component Online Deformable Part-Based Model, JOURNAL OF INFORMATION SCIENCE AND ENGINEERING,Vol 32, pp:47-61,2016.

[3] Wu, Yuwei; Pei, Mingtao; Yang, Min, Robust Discriminative Tracking via Landmark-Based Label Propagation, IEEE TRANSACTIONS ON IMAGE PROCESSING, Vol 24,pp:1510-1523,MAY 2015.

[4] Dong, Zhen; Wu, Yuwei; Pei, Mingtao, Vehicle Type Classification Using a Semisupervised Convolutional Neural Network, IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, Vol16,pp:2247-2256,AUG 2015.

[5]Yong Duan, Mingtao Pei, Yucheng Wang, Min Yang, Xiameng Qin, Yunde Jia, A Unified Probabilistic Framework for Real-Time Depth Map Fusion, Journal of Information Science and Engineering. Vol 31, pp: 1309-1327, JUL 2015.

[6] YANG Min, PEI MingTao, WU YuWei & JIA YunDe, Learning online structural appearance model for robust object tracking, Science China, Vol 58, MAR 2015.

[7] Yang He, Mingtao Pei, Min Yang, Yuwei Wu, Yunde Jia, Online visual tracking by integrating spatio-temporal cues, IET Computer Vision, Vol 9,pp: 124-137, FEB 2015.

[8] Yi Xie,Mingtao Pei,Jiangen Zhang, Meng Meng, Yunde Jia, Tracking Pedestrian with Incrementally Learned representation and classification model, Journal of Information Science and Engineering, Vol 30, Pages 1035-1052, 2014.

[9] LIU Cuiwei, PEI Mingtao, Wu Xinxiao, KONG Yu, JIA Yunde, Learning a Discriminative Mid-Level Feature for Action Recognition, Science China, Vol 57, May 2014.

[10] Mingtao Pei,Zhangzhang Si, Benjamin Yao, Song-Chun Zhu, Learning and parsing video events with Goal and Intent Prediction, Computer Vision and Image Understanding, Volume 117, Issue 10, Pages 1203-1548, October 2013.

[11] Mingtao Pei,Yafei Wang,Meng Zhao,Video Event Recognition by Scene and Group Context,China Communication, Vol 10, No 11, November 2013.

[12] Zhang Liuxin, Pei Mingtao, Jia Yunde, Multiview visibility estimation for image-based modeling, Journal of Computer Science and Technology, v26, pp 1000-1010, November 2011

会议论文

[1] Zhen Dong, Su Jia, Tianfu Wu, Mingtao Pei, Face Video Retrieval via Deep Learning of Binary Hash Representations, AAAI Conference on Artificial Intelligence, 2016, Phoenix, Arizona USA.

[2] Min Yang, Mingtao Pei, Jiajun Shen and Yunde Jia , Robust Online Multi-Object Tracking by Maximum a Posteriori Estimation with Sequential Trajectory Prior , ICONIP 2015.

[3] Dong, Zhen; Pei, Mingtao; He, Yang, Vehicle Type Classification Using Unsupervised Convolutional Neural Network, 22nd International Conference on Pattern Recognition (ICPR), Stockholm, SWEDEN, AUG 24-28, 2014.

[4] Mingtao Pei, Zhen Dong, Meng Zhao, Event Recognition by Social Roles in Continuous Video, IEEE International Conference on Multimedia and Expo (ICME), San Jose, 2013 (Oral).

[5] Yi Xie,Mingtao Pei,Zhao Liu, Tianfu Wu, Tracking Pedestrian with Multi-Component Online Deformable Part-Based Model, ACCV 2012

[6] Mingtao Pei,Yunde Jia, Songchun Zhu, Parsing Video Events with Goal inference and Intent Prediction, ICCV 2011

[7] Xie Yi,Pei Mingtao,Yu Guanqun,Song Xi,Jia Yunde, Tracking pedestrians with incremental learned intensity and contour templates for PTZ camera visual surveillance, ICME 2011

[8] Zhangzhang Si, Mingtao Pei, Benjamin Yao, Songchun Zhu, Unsupervised Learning of Event AND-OR Grammar and Semantics from Video. ICCV 2011

发明专利

[1] 裴明涛,贾云得,一种侧面轮廓和人耳相结合的身份识别装置,专利号:ZL 2006 1 0127147.2. 授权时间:2008.08.13.

[2] 裴明涛,郭志强,杨敏,王永杰,董震,“一种基于可变形部件模型的车牌及驾驶员人脸定位方法”, 专利号:ZL 2012 1 0352669.8. 授权时间:2014.12.31.

[3] 裴明涛,王亚菲,“一种基于像素点可区分度的自然路标及着陆区域确定方法”, 专利号:201210352611.3. 授权时间:2016.04.06.

[4] 董震,裴明涛,贾云得, “一种智能交通监控系统中的车辆类型识别方法”,申请号:201410601560.2.

[5] 杨敏,裴明涛等,“一种智能交通监控系统中的高分辨率视频车辆检测方法”,申请号:201410035329.1.

[6] 贾云得,杨敏,裴明涛,一种耦合目标检测与数据关联的实时在线多目标跟踪方法,申请号:201610006974.X.

[7] 贾云得,杨敏,裴明涛,一种采用时间动态表观模型的实时在线多目标跟踪方法,申请号:201511029753.6.

[8] 贾云得,沈家峻,徐彬,裴明涛,一种远程呈现交互操作轮椅,申请号:201610007197.0.

 承担科研项目

[1] 国家自然科学基金:视频中事件的内容分析语义与描述, 2015.01---2017.12, 项目负责人.

[2] 国家自然科学基金:视频中交互行为的自动分析与理解, 2013.01---2015.12, 项目负责人.

[3] 国家973项目子课题: 基于下降图像序列的行星表面地形分析及路标跟踪技术,2014.01---2016.12, 项目负责人.

[4] 国家973项目子课题:行星表面自然路标检测与着陆器位姿估计方法研究, 2012.01---2013.12, 项目负责人.

[5] 教育部留学归国人员启动基金:基于环境上下文信息的视频行为分析与理解方法研究, 2013.01---2014.12, 项目负责人.

[6] 北京理工大学基础研究基金:基于机器学习的视频事件分析与理解, 2011.01---2012.12, 项目负责人.