个人简历
教育背景 计算机系博士学位，中佛罗里达州立大学(University of Central Florida), 奥兰多, 佛罗里达, 2001-2005。计算机系硕士学位，中佛罗里达州立大学(University of Central Florida), 奥兰多, 佛罗里达 1999- 2001。自动控制系硕士学位，北京航空航天大学，1994-1997。材料科学与工程系学士学位，北京航空航天大学，1990-1994。工作履历入选中科院级人才计划，研究员，中国科学院宁波工业技术研究院,宁波，08/2010至今。客聘教授，北京大学工学院，2010至今计算机视觉研究部科学家和高级科学家，Sarnoff公司，普林斯顿(Princeton，NJ)，美国，2005/06 –2010/07。 助教/助研，计算机系视觉试验室和仿真训练研究所（IST），中佛罗里达州立大学 (University of Central Florida, Orlando, FL)，奥兰多，佛罗里达，美国，1999-2005。软件工程师，航天部二院二部，1997-1999。研究概况部分参与研究计划项目基金1．“网络化广域智能视频监控”,中科院项目，200万，2010-2013。2．“XXX信息协同处理技术”，国防863项目，60万，2011-2013。3．“基于行为模型和超图匹配的多目标跟踪技术研究”，国家自然科学面上基金项目，80万，2013-2016。4．“基于目标群组建模和离散-连续问题联合优化的多目标跟踪”, 浙江省自然科学杰出青年基金项目，30万，2014-2017。5．“跨相机人员跟踪与甄别技术研究”，宁波市重大攻关项目，50万，2011-2014。6．“XXXX多目标实时跟踪技术研究”，洛阳光电设备研究所的“总装预研”项目委托开发，XX万，2011-2013。7． “具有网络功能的360度全景摄像系统”，宁波工研院育成项目，2012-2013，经费50万。8．“基于上下文的实时处理视频监控系统”，于2009年提交ITT Safeguard 项目，345万美元，3年。9． “基于视频内容的提取和推理的无人机视频监控系统”，于2006年3月提交给高级研究和发展活动研究署ARDA，450万美元，3年。出版著作：书中章节：Jiangjian Xiao, “Motion Segmentation and Matting by Graph Cut”,Graph-based methods in computer vision: developments and applications, IGI Global Publishing, 2012.申请专利：1. Jiangjian Xiao, Hui Cheng, “Method and system for segment-based optical flow estimation”, United States Patent （US 7760911）.2. Feng Han, Hui Cheng, Jiangjian Xiao, Harpreet Sawhney, “Exemplar-based heterogeneous compositional method for object classification”, United States Patent (US 8233704).3. Hui Cheng, Jiangjian Xiao, and Harpreet Sawhney, “Method for Building and Extracting Entity Networks from Video”, United States Patent (US 8294763).4. Garbis Salgian, Benjamin John, Sang-Hack Jung, Vlad Branzoi, Jiangjian Xiao, Feng Han, Supun Samarasekera, Rakesh Kumar, Jayan Eledath, “System and method for object detection from a moving platform”, United States Patent Application 20100202657.5. Feng Han, Hui Cheng, Jiangjian Xiao, Harpreet Sawhney,“Exemplar-based Heterogeneos Compositional Method for Object Classfication”, United States Patent Application 20080310737.6. Garbis Salgian, Supun Samarasekera, Jiangjian Xiao, James Bergen, Rakesh Kumar, Feng Han,“Moving Target Detection in the Presence of Parallax”, United States Patent Application 20080089556.7. Feng Han, Hui Cheng, Jiangjian Xiao, Harpreet Sawhney, Sang-Hack Jung, Rakesh Kumar, Yanlin Guo, “Real-Time Action Detection and Classification”, United States Patent Application 20090316983.8. Jiangjian Xiao, Harpreet Sawhney, Hui Cheng, “Method and apparatus for detecting and tracking vehicles”, US 20120070034.9. 袁义雷，许根，桂丙甬，肖江剑，“一种360度实时全景摄像机”，专利申请号： 201110280276.6 。10. 许根，桂丙甬，袁义雷，肖江剑，“一种360度全景监控系统”， 专利申请号：201110317469.4。11. 周珣，许根，徐刚，肖江剑，“一种360度全景摄像机”，专利申请号：201220509322.5
研究领域
目前的具体研究方向包括：视频监控、对地遥感观测、相机自定位、三维场景建模、增强现实和视频合成。"着重研究与计算机视觉、图像处理、模式识别等领域的相关内容。"
近期论文
期刊论文：1． Xiaochun Cao, Lin Wu, Jiangjian Xiao, Hassan Foroosh, Jigui Zhu and Xiaohong Li, “Video Synchronization and Its Application on Object Transfer”, Image and Vision Computing, Volume 28, Issue 1, Pages 92-100, January 2010. (Impact Factor 1.496) (SCI引用2次)2． Jiangjian Xiao, Hui Cheng, Feng Hang, and Harpreet Sawhney, “Geo-based Aerial Surveillance Video Processing for Scene Understanding and Object Tracking”, International Journal of Pattern Recognition and Artificial Intelligence，Vol. 23, No. 7, pp. 1285-1307, 2009.（SCI/EI索引）(Impact Factor 0.66).3． Xiaochun Cao, Jiangjian Xiao, Hassan Foroosh, and Mubarak Shah, “Self-Calibration from Turn-Table Sequences in the Presence of Zoom and Focus”, Computer Vision and Image Understanding, Vol. 102, No.3, pp.227-237, 2006. （SCI/EI索引）(SCI引用7次) (Impact Factor 2.22)4． Jiangjian Xiao and Mubarak Shah, “Motion Layer Extraction in the Presence of Occlusion using Graph Cut”, IEEE transactions on Pattern Analysis and Machine Intelligence, Vol. 27, No. 10, pp. 1644-1659, 2005.（Google引用167次）（SCI/EI索引）(SCI引用56次) (Impact Factor 5.96)5． Jiangjian Xiao and Mubarak Shah, “Layer-Based Video Registration”, Machine Vision and Application, Vol. 16, No. 2, pp. 75-84, 2005. （SCI/EI索引）(Impact Factor 1.485) (SCI引用2次)6． Jiangjian Xiao and Mubarak Shah, “Tri-view Morphing”, Computer Vision and Image Understanding Vol. 96, No. 3, pp. 345-366, 2004. （Google引用57次）（SCI/EI索引）(SCI引用6次) (Impact Factor 2.22)7． 熊新平, 肖江剑，“ DIS系统集成技术研究”，系统仿真学报（Journal of System Simulation），Vol. 12, No.5，pp.442-445，2000。（EI索引）会议论文：8． Feng Shi, Zhong Zhou, Jiangjian Xiao, Wei Wu, “Robust Trajectory Clustering for Motion Segmentation”, IEEE International Conference on Computer Vision (ICCV), Sydney, Dec 3-6, 2013. 9． Feng Shi, Zhong Zhou, Jiangjian Xiao, Wei Wu,“A new trajectory clustering algorithm using temporal smoothness for motion segmentation”, International Conference on Image Processing, 2013.10． S. Wu and Jiangjian Xiao, “Tracking group targets using hypergraph matching in data association”, Proc. of SPIE Signal and Data Processing of Small Targets 2011, San Diego, Aug. 23-25, 2011, Vol. 8137, page 81370M-1 - 8137M-9.11． 肖江剑,李山奎,阳刚，葛建飞,“基于双目成像的增强现实系统”，第六届全国数字娱乐与艺术大会(DEA2011)。12． Jiangjian Xiao, Hui Cheng, and Harpreet Sawhney, “Vehicle Detection and Tracking in Wide Field-of-View Aerial Video”, IEEE Conf. on Computer Vision and Pattern Recognition, San Francisco, CA, June 13-18, 2010. （EI索引）（Google引用19次）13． Jiangjian Xiao, Hui Cheng, and Harpreet Sawhney, “Advanced Vehicle Tracking in Persistent Aerial Surveillance Video”, SPIE Defense, Security, and Sensoring, Orlando, FL, April, 2010. （EI索引）14． Jiangjian Xiao, Hui Cheng, and Harpreet Sawhney, “Vehicle Detection and Tracking in Wide Area Airborne Surveillance”, MSS Passive Sensors, Orlando, FL, Feb 22- 26, 2010.（保密会议）15． Jiangjian Xiao, Hui Cheng, Feng Hang, and Harpreet Sawhney, “Geo-spatial Aerial Video Processing for Scene Understanding and Object Tracking”, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Anchorage, Alaska, Jun 24 – Jun 26, 2008. （EI索引）（Google引用18次）16． Jiangjian Xiao, Hui Cheng, Han Feng, and Changjiang Yang, “Object Tracking and Classification in Aerial Videos”, SPIE Conference on Automatic Target Recognition XVIII, Orlando, 2008. （EI索引）17． Jiangjian Xiao, Changjiang Yang, Feng Han, and Hui Cheng, “Vehicle and Person Tracking in UAV Videos”, Classification of Events, Activities, and Relationships Evaluation and Workshop, Baltimore, 2008. （EI索引）（Google引用16次）18． Garbis Salgian, Jiangjian Xiao, Supun Samarasekera, and Rakesh Kumar, “On-the-move independently moving target detection”, SPIE Conference on Unmanned Systems Technology IX, Orlando, 2007. （EI索引）19． Xiaochun Cao, Jiangjian Xiao, and Hassan Foroosh, “Self-Calibration Using Constant Camera Motion”, International Conference on Pattern Recognition (ICPR), Hong Kong, Aug 20-24, 2006. （EI索引）20． Xiaochun Cao, Jiangjian Xiao, and Hassan Foroosh, \2012年入选浙江省级人才计划IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Image Processing， Computer Vision and Image Understanding，Pattern Recognition，Image and Vision Computing， Machine Vision and Applications，等多家期刊及会议审稿专家。现任Machine Vision and Application Journal（SCI索引）编委。曾于2008 年IEEE计算机视觉和模式识别年会(IEEE Conference on Computer Vision and Pattern Recognition)任分会主席。曾于2009 年在6th International Conference Computer Graphics, Imaging and Visualization 年会任程序委员。在2011年IEEE CVPR Workshop of Aerial Video Processing (WAVP) 任程序主席。在2011年第六届全国数字娱乐与艺术研讨会(DEA’2011) 出任程序主席。国际电气电子工程师学会 (Institute of Electrical and Electronics Engineers)会员。
