胡卫明，研究员、博士生导师、IEEE Senior Member、中国计算机学会高级会员、国际权威刊物IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics的Associate Editor。1998年1月在浙江大学计算机系获工学博士学位。1998年3月进入北京大学计算机科学技术研究所(即北大方正技术研究院)博士后流动站，从事博士后研究工作。2000年4月起在中国科学院自动化研究所模式识别国家重点实验室工作。曾多次到美国伊利诺伊斯大学厄巴那-香槟分校、英国雷丁大学和伦敦大学Birkbeck学院、法国波尔多第三大学以及澳大利亚Monash大学和卧龙岗大学做访问研究。2004年获北京市科学技术(自然科学类)一等奖(排名第二)、陆增镛CAD&CG高科技奖二等奖(个人奖)。先后主持了国家自然科学基金、国家高技术研究发展计划、北京市自然科学基金等多项科研项目。已在《IEEE Trans. on PAMI》等国际刊物、《中国科学》等国内一级刊物以及重要的国际学术会议上发表论文90余篇，其中第一作者32篇，到2008年2月为止SCI收录18篇、EI收录45篇、ISTP收录32篇；SCI他引236次、Google Schoolar他引1007次、中国科学引文数据库他引73次。申请专利15项。有多套软件产品在国内有关单位推广使用，完成的商业化软件产品—方正智绘地图晕渲系统广泛使用于测绘、地矿、农业、林业、出版等行业。目前主要从事视频信息处理与网络信息安全识别方面的研究工作。

 部分论文：
1.Weiming Hu, Ou Wu, Zhouyao Chen, Zhouyu Fu, and Steve Maybank, “Recognition of pornographic web pages by classifying texts and images”, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 29, no. 6, June 2007, pp. 1019-1034.

2.Weiming Hu, Xuejuan Xiao, Zhouyu Fu, Dan Xie, Tieniu Tan, and Steve Maybank, “A system for learning statistical motion patterns”, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 28, no. 9, September 2006, pp. 1450-1464.

3.Weiming Hu, Min Hu, Tieniu Tan, Jianguang Lou, and Steve Maybank, “Principal axis-based correspondence between multiple cameras for people tracking”, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 28, no. 4, April 2006, pp. 663-671.

4.Weiming Hu, Dan Xie, Zhouyu Fu, Wenrong Zeng, and Steve Maybank, “Semantic-based surveillance video retrieval”, IEEE Transactions on Image Processing, vol. 16, no. 4, April 2007, pp. 1168-1181.

5.Weiming Hu, Dan Xie, and Tieniu Tan, “A hierarchical self-organizing approach for learning the patterns of motion trajectories”, IEEE Transactions on Neural Networks, vol. 15, no. 1, 2004, pp. 135-144.

6.Weiming Hu, Xuejuan Xiao, Dan Xie, Tieniu Tan, and Steve Maybank, “Traffic accident prediction using 3D model based vehicle tracking”, IEEE Transactions on Vehicular Technology, vol. 53, no. 3, 2004, pp. 677-694.

7.Weiming Hu, Wei Hu, and Steve Maybank, “Adaboost-based algorithm for network intrusion detection”, IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics, vol. 38, no. 2, 2008, pp. 577-583.

8.Weiming Hu, Dan Xie, Tieniu Tan, and Steve Maybank, “Learning patterns of activity using fuzzy self-organizing neural network”, IEEE Transactions on Systems, Man and Cybernetics, Part B: Cybernetics, vol. 34, no. 3, 2004, pp. 1618-1626.

9.Weiming Hu, Tieniu Tan, Liang Wang, and Steve Maybank, “A survey on visual surveillance of object motion and behaviors”, IEEE Transactions on Systems, Man and Cybernetics, Part C: Applications and Reviews, vol. 34, no. 3, 2004, pp. 334-352.

10.Weiming Hu, Xue Zhou, Min Hu, and Steve Maybank, “Occlusion reasoning for tracking multiple walking people”, IEEE Transactions on Circuits and Systems for Video Technology, Accepted, 2008.

11.Hu Weiming, Yan Xiaolang, and He Zhijun. “Partitioning on MCM using a new neural network model”. Science in China. Series E, vol. 42, no. 3, 1999, pp. 312-320.

12.Liang Wang, Tieniu Tan, Huazhong Ning, and Weiming Hu, “Silhouette analysis based gait recognition for human identification”, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 25, no. 12, 2003, pp. 1505-1518.

13.Jianguang Lou, Tieniu Tan, Weiming Hu, Hao Yang, and Steve Maybank, “3D model based vehicle tracking”, IEEE Transactions on Image Processing, vol. 14, no. 10, 2005, pp. 1561-1569.

14.Liang Wang, Tieniu Tan, Weiming Hu, and Huazhong Ning, “Automatic gait recognition based on statistical shape analysis”, IEEE Transactions on Image Processing, vol. 12, no. 9, 2003. pp. 1120-1131.

15.Liang Wang, Huazhong Ning, Tieniu Tan, and Weiming Hu, “Fusion of static and dynamic body biometrics for gait recognition”, IEEE Transactions on Circuits and Systems for Video Technology, vol. 14, no. 2, 2004, pp. 149-158.

16.Huazhong Ning, Tieniu Tan, Liang Wang, and Weiming Hu, “People tracking based on motion model and motion constraints with automatic initialization”, Pattern Recognition, vol. 37, no. 7, 2004, pp. 1423-1440.

17.Liang Wang, Weiming Hu, and Tieniu Tan, “Recent developments in human motion analysis”, Pattern Recognition, vol. 36, no. 3, 2003, pp. 585-601.

18.Dacheng Tao, Xuelong Li, Xindong Wu, Weiming Hu and Stephen J. Maybank, “Supervised tensor learning”, Knowledge and Information Systems, vol. 13, no. 1, Sep. 2007, pp. 1-42.

19.Huazhong Ning, Tieniu Tan, Liang Wang, and Weiming Hu, “Kinematics-based tracking of human walking in monocular video sequences”, Image and Vision Computing, vol. 22, no. 5, 2004, pp. 429-441.

20.Xiaoqin Zhang, Weiming Hu, Steve Maybank, and Xi Li, “Graph based discriminative learning for robust and efficient object tracking”, IEEE International Conference on Computer Vision (ICCV), Oct. 2007, pp.1-8. (Oral Presentation)

21.Xi Li, Weiming Hu, Zhongfei Zhang, Xiaoqin Zhang, and Guan Luo, “Robust visual tracking based on incremental tensor subspace learning”, IEEE International Conference on Computer Vision (ICCV), 14-21 Oct. 2007, pp. 1-8.

22.Liang Wang, Huazhong Ning, Tieniu Tan, and Weiming Hu, “Fusion of static and dynamic body biometrics for gait recognition”, IEEE International Conference on Computer Vision (ICCV), 2003, pp. 1449-1453.

23.Mingliang Zhu, Weiming Hu, and Ou Wu, “User oriented link function classification”, International Conference on World Wide Web (WWW). Beijing, China. April 21-25, 2008.

24.Xi Li, Weiming Hu, Zhongfei Zhang, Xiaoqin Zhang, and Guan Luo, “Visual tracking via incremental Log-Euclidean Riemannian subspace learning”, IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), Anchorage, Alaska. June 23-28, 2008.

25.Xiaoqing Zhang, Weiming Hu, Steve Maybank, Li Xi “Sequential particle swarm optimization for visual tracking”, IEEE International Conference on Computer Vision and Pattern Recognition(CVPR), Anchorage, Alaska. June 23-28, 2008.

26.Dacheng Tao, Xuelong Li, Weiming Hu, Stephen Maybank, and Xindong Wu, “Supervised tensor learning”, IEEE International Conference on Data Mining (ICDM), New Orleans, Louisiana, USA, November 27-30, 2005.