简历：

黄凯奇，研究员，博士生导师，美国电气电子工程师学会（IEEE）高级会员，计算机学会高级会员，IEEE北京分会副秘书长（2006-2008），IEEE SMC认知计算委员会委员。 北京市科技新星，国家自然科学优秀青年基金和中组部万人计划青年拔尖人才。先后获南京理工大学学士和硕士，东南大学通信与信息处理博士学位。主要研究方向为智能视觉监控、模式识别、人的视觉认知特性，作为负责人完成了国家、省部及地方企业合作课题三十余项。迄今已在国际/国内期刊、国际会议上发表/录用学术论文120余篇，其中本领域顶级期刊和会议如T-PAMI、 T-IP 、CVPR、ECCV等 40余篇。多次获得国际计算机视觉权威竞赛（PASCAL VOC、ImageNet-ILSVRC）冠亚军。是国际杂志 IEEE Trans. on Systems, Man, and Cybernetics: Systems（TSMC）等和“面向安全的视觉分析”方面多个专刊的Associate Editor和Guest Editor, 在包括ICCV、CVPR, ECCV在内的计算机视觉和模式识别50余个国际主流会议和研讨会上担任主席和程序委员，是国际视觉监控系列研讨会和全国视觉监控学术会议的程序主席。获得和申请国家发明专利三十余项，软件著作权13项，主持开发的成果获得国家科技进步二等奖（排名第二）、第十二届中国发明专利优秀奖（排名第二）和第二届北京市发明专利二等奖（排名第二）。

研究领域：

计算机视觉: 视觉认知及模型 
模式识别: 特征选择,分类器设计及模型 
视觉监控: 物体检测,跟踪,分类识别以及行为理解

学术任职：

Guest Ediotr of IEEE Trans on Systems, Man, and Cybernetics: Systems Special issue on Large Scale Video Analytics for Enhanced Security: Algorithms and Systems, 2015 
International Workshop on Visual Surveillance and Re-Rdentification conjuncted with European Conference on Computer Vision联合主席 （2014） IEEE Trans. on Systems, Man, and Cybernetics: Systems编委 （2014-） 
Electronic Letters on Computer Vision and Image Analysis编委 （2010-） 
IEEE SMC Technical Committee on Cognitive Computing编委 （2008-） 
International Journal of Image and Graphics编委 （2007-）

学术成就：

部分期刊论文 
[1] 黄凯奇，陈晓棠，康运锋，谭铁牛,“智能视频监控技术综述”，计算机学报, Vol.38(6),pp:1093-1118,2015 
[2] 黄凯奇，任伟强，谭铁牛，“图像物体分类与检测算法综述”，计算机学报，37(6),pp:1-18,2014,(PPT) 
[3] 黄凯奇，谭铁牛，“视觉认知计算模型综述”，模式识别与人工智能，26(10),pp:951-958, 2013 
[4] K.Huang, Y.Zhang, T.Tan, "A Discriminative Model of Motion and Cross Ratio for View-invariant Action Recognition", IEEE Transactions on Image Processing (TIP), 21(5):2187-2197, 2012 
[5] K. Huang, D.Tao, X.Li, T.Tan,“Biologically Inspired Features for Scene Classification in Video Surveillance”, IEEE Transactions on Systems, Man and Cybernetics, Part: B. (T-SMC-B), 41(1), pp: 307-313, Feb. 2011. 
[6] K. Huang, D.Tao, X.Li, T.Tan. “View Independent Human Behavior Analysis”, IEEE Transactions on Systems, Man and Cybernetics, Part: B. (T-SMC-B), vol. 39, no. 4, pp: 1028-1035, August 2009. 
[7] K. Huang, S. Wang, T. Tan, S.J.Maybank, “Human Behavior Analysis Based on a New Motion Descriptor”, IEEE Transactions on Circuits and Systems for Video Technology (T-CSVT).vol.19, no.2, pp:1830-1840, 2009 
[8]K. Huang, L.Wang, T.Tan, S.J.Maybank,”A Real-time Detecting Tracking Distant Objects System for Night Surveillance”, Pattern Recognition (PR), Volume 41, Issue 1, pp: 432-444, 2008 (video挑战的夜间视频) 
[9] K. Huang, T. Tan, “Vs-Star: a Visual Interpretation System for Visual Surveillance”, Pattern Recognition Letters (PRL), V. 31, Issue 14(15), Pp: 2265-2285, October 2010 
[10] K. Huang, Q.Wang, Z.Wu. “Natural Color Image Enhancement Evaluation Algorithm based on Human Visual System”, Computer Vision and Image Understanding (CVIU), 103, pp: 52-63, 2006. 
[11] K. Huang, Q.Wang, Z.Wu, “Color Image Denoising with Wavelet Thresholding based on Human Visual System Model”, Signal Processing: Image Communication(SP:IC), Vol. 20 ( 2). pp: 115-127, 2005. 
[12] K. Huang, Q.Wang, Z.Wu, “Image Enhancement based on the Statistics of Visual Representation”, Image and Vision Computing (IVC), V23, pp:51-57, 2005. 
[13] C.Wang, K.Huang,"How to use Bag-of-Words model better for image classification", Image and Vision Computing (IVC), Volume 38, June, Pages 65-74, 2015. [14] Y. Cheng, X. Zhao, K.Huang, T. Tan,"Semi-supervised learning and feature evaluation for RGB-D object recognition",Computer Vision and Image Understanding(CVIU), Volume 139, October, Pages 149-160,2015 
[15] Yinan Yu, K. Huang, Wei Chen, Tieniu Tan, "A Novel Algorithm for View and Illumination Invariant Image Matching. IEEE Transactions on Image Processing (TIP), 21(1): pp, 229-240, 2012 
[16] Z. Zhang, T. Tan, K. Huang, “An Extended Grammar System for Learning and Recognizing Complex Visual Events”, IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI), V.33 (2),Pp: 240-255,2011. 
[17] Z. Liu, K. Huang, T.Tan, “Cast Shadow Removal Using MRF Based on Hierarchical Information”, IEEE Transactions on Circuits and Systems for Video Technology (T-CSVT), 22(1),pp,56-66,2012 

部分会议论文 
[1] Kangwei Liu, Junge Zhang, Peipei Yang, Kaiqi Huang,"GRSA: Generalized Range Swap Algorithm for the Efficient Optimization of MRFs", The IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2015, pp. 1761-1769 
[2]Yanhua Cheng, Rui Cai, Zhiwei Li, Xin Zhao, Kaiqi Huang, Yong Rui,"Query Adaptive Similarity Measure for RGB-D Object Recognition",The IEEE International Conference on Computer Vision(ICCV), 2015. 
[3] Lianrui Fu, Junge Zhang, Kaiqi Huang,"Beyond Tree Structure Models: A New Occlusion Aware Graphical Model for Human Pose Estimation",The IEEE International Conference on Computer Vision(ICCV), 2015. 
[4] Kangwei Liu, Junge Zhang, Kaiqi Huang and Tieniu Tan, “Deformable Object Matching via Deformation Decomposition based 2D Label MRF”, In IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2014. 
[5]Chong Wang, Weiqiang Ren, Kaiqi Huang, Tieniu Tan, "Weakly Supervised Object Localization with Latent Category Learning,",ECCV 2014. 
[6]C. Wang, J. Zhang, P. Yang, and K. Huang, “Robust Object Recognition via Visual Pathway Feedback,” accepted by ICPR, 2014（Oral） 
[7] Weihua Chen,Lijun Cao,Xiaotang Cheng, Kaiqi Huang," A novel solution for multi-camera object tracking", ICIP2014,(muit-camera tracking database: http://mct.idealtest.org/.) 
[8] Xiaotang Chen, Huang Kaiqi, Tieniu Tan," Learning the Three Factors of A Non-Overlapping Multi-Camera Network Topology",Chinese Conference on Pattern Recognition (CCPR2012) (The Elsevier Best Paper Awards),2012, 
[9] Junge Zhang, Huang Kaiqi, Tieniu Tan,”Semantic Windows Mining in Sliding Window Based Object Detection”, ICPR 2012 （Oral） 
[10] Y.Huang, Kaiqi Huang, T.Tan, ”Salient Coding for Image Classification”, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2011， 
[11[J.Zhang, Kaiqi Huang, T.Tan, ”Boosted Local Structured HOG-LBP for Object Localization”, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2011， 
[12] Y.Huang, Kaiqi Huang, T.Tan,” Exploring Relations of Visual Codes for Image Classification”, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2011， [13]X.Zhao,J.Ding,Kaiqi Huang,T.Tan,"Global and Local Traning for Moving Object Classification in Surceillance Oriented Scene.",The First Asian Conference on Pattern Recognition (ACPR2011),Nov.2011(The IAPR Best Student Paer Award) 
[14] Min Li, Wei Chen, Kaiqi Huang, Tieniu Tan, “Visual Tracking via Incremental Self-tuning Particle Filtering on the Affine Group,” IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2010. 
[15] Zhang Zhang, Kaiqi Huang, T.Tan. "Multi-Thread Parsing for Recognizing Complex Events in Videos", Proc. of the 10th European Conference on Computer Vision (ECCV), 2008 
[16] Yongzhen Huang, Kaiqi Huang, T.Tan. "Enhanced Biologically Inspired Model", IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2008. 
[17] Zhaoxiang Zhang, Min li, Kaiqi Huang, T.Tan. "Practical Camera Auto-Calibration based on Object Appearance and Motion for Traffic Scene Visual Surveillance ", IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2008. 
[18] Kaiqi Huang, Ls. Wang, Tieniu Tan，"Detecting and Tracking Distant Objects at Night Based on Human Visual System", the 7th Asian Conference on Computer Vision (ACCV), 822-832. 2006. 
[19] Kaiqi Huang, Qiao Wang, Zhen-yang Wu, "Color image enhancement and evaluation algorithm based on human visual system", IEEE Proceedings of the International Conference of Speech, Acoustics, Signal Processing (ICASSP), III:721-724, 2004. (Selected among top 15% papers in Image and Video Coding and Quality category, and received an invitation to submit to IEEE Signal Processing Society journals. (Acceptance rate: 15%*50% = 7.5%)。