更新时间：2023-03-31 22:01
胡卫明，男 ，1968年11月生，国家杰出青年基金获得者，中国科学院自动化研究所研究员，博士生导师。中国科学院大学岗位教授、视频内容安全研究团队负责人，国家杰出青年科学基金获得者(2008年)、中组部万人计划科技创新领军人才入选者(2016)、科技部中青年科技创新领军人才入选者(2013)、人社部百千万人才工程国家级人选者(2015)、国家有突出贡献中青年专家(2015)、享受国务院政府特殊津贴(2016)、国家863重点专项项目首席专家(2011)。
胡卫明，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。曾多次到美国哥伦比亚大学和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。
视频信息处理：运动目标的跟踪与行为理解(智能视觉监控)、基于运动特征分析的视频检索、视频数据挖掘等。网络信息安全分析与识别：网络有害内容的识别、网络入侵模式分析等 学术任职 国家自然科学基金委员会第十二届专家评审组成员、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、北京大学软件学院兼职教授。
2004年以第二完成人获北京市科学技术奖(自然科学类)一等奖，2008年以第一完成人获北京市科学技术奖(基础研究类)二等奖。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二十余项科研项目。已在《IEEE Trans. on PAMI》等国际刊物、《中国科学》等国内一级刊物以及ICCV、ECCV、CVPR等重要国际学术会议上发表论文100余篇，其中第一作者32篇。申请专利20余项。负责完成的敏感图像识别技术、兴奋剂宣传销售信息识别技术得到了实际应用，负责开发了网络多模态有害信息过滤系统。有7年作为软件工程师的软件系统开发经历，独立完成源代码20万行以上，开发了多套软件产品与实用系统在国内有关单位推广使用，其中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。
2021年11月3日，胡卫明主持的项目“视觉运动模式学习与理解的理论与方法”获2020年度国家自然科学奖二等奖。
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, 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, Xue Zhou, 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, Xue Zhou, Min Hu, and Steve Maybank, “Occlusion reasoning for tracking multiple walking people”, IEEE Transactions on Circuits and Systems for Video Technology, vol. 19, no. 1, pp. 114-121, 2009.
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, 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.
11. Weiming Hu, Wei Hu, Nianhua Xie, and Steve Maybank, “Unsupervised active learning based on hierarchical graph-theoretic clustering”, IEEE Transactions on Systems, Man and Cybernetics, Part B: Cybernetics, vol. 39, no. 5, Oct. 2009, pp. 1147-1161
12. 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.
13. Xiaoqing Zhang, Weiming Hu, and Steve Maybank, “Graph based discriminative learning for robust and efficient object tracking”, IEEE International Conference on Computer Vision (ICCV), 2007.
14. Xi Li, Weiming Hu, Zhongfei Zhang, “Robust visual tracking based on incremental tensor subspace learning”, IEEE International Conference on Computer Vision (ICCV), 2007.
15. Xi Li, Weiming Hu, Zhongfei Zhang, and Xiaoqin Zhang, “Robust visual tracking based on an effective appearance model”, European Conference on Computer Vision (ECCV), 2008.
16. 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.
17. 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.
18. Xiaoqin Zhang, Changcheng Li, Xiaofeng Tong, Weiming Hu, and Steve Maybank, “Efficient Human Pose Estimation via Parsing a Tree Structure Based Human Model”, IEEE International Conference on Computer Vision (ICCV), 2009.
19. Nianhua Xie, Haibin Ling, Weiming Hu, and Xiaoqin Zhang, “Use Bin-Ratio Information for Category and Scene Classification”, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2010.
20. Ou Wu, Mingliang Zhu and Weiming Hu, “Fragment based Clustering Ensembles”, ACM International Conference on Information and Knowledge Management (CIKM), pp.1795-1795, 2009.