个人简历

个人信息
2004年获北京理工大学计算机学院工学博士学位，2009年至2011年在美国加州大学洛杉矶分校作访问学者。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。目前主要科学研究方向为计算机视觉和模式识别。在国际重要学术期刊IEEE TIP，IEEE CSVT, IEEE TITS,CVIU以及ICCV，AAAI等国际顶级会议上发表学术论文60余篇，获国家发明专利3项

研究领域

计算机视觉，模式识别"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

近期论文

代表性学术成果
期刊论文：
[1] 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
[2] 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
[3] 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
[4] 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
[5] YANG Min, PEI MingTao, WU YuWei & JIA YunDe, Learning online structural appearance model for robust object tracking, Science China, Vol 58, MAR 2015
[6] 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
[7] 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
[8] Mingtao Pei,Zhangzhang Si, Benjamin Yao, Song-Chun Zhu, Learning and parsing video events with Goal and Intent Prediction, Computer Vision and Image Understanding(CVIU), Volume 117, Issue 10, Pages 1203-1548, October 2013.
[9] Zhang Liuxin, Pei Mingtao, Jia Yunde, Multiview visibility estimation for image-based modeling, Journal of Computer Science and Technology(JCST), 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] Yong Duan, Mingtao Pei, Yunde Jia, Probabilistic Depth Map Fusion for Real-Time Multi-View Stereo , ICPR 2012 (Oral)
[6] Yi Xie,Mingtao Pei,Zhao Liu, Tianfu Wu, Tracking Pedestrian with Multi-Component Online Deformable Part-Based Model, ACCV 2012
[7] Mingtao Pei,Yunde Jia, Songchun Zhu, Parsing Video Events with Goal inference and Intent Prediction, ICCV 2011
[8] Zhangzhang Si, Mingtao Pei, Benjamin Yao, Songchun Zhu, Unsupervised Learning of Event AND-OR Grammar and Semantics from Video. ICCV 2011
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