Human Identification at a Distance by Gait Analysis
Date: January 28, 2019
Time: 3:45 – 5:15 PM
Lecturers: Shiqi Yu1, Yongzhen Huang2;4, Yasushi Makihara3, Daigo Muramatsu3, Liang Wang2, Yasushi Yagi3 and Tieniu Tan2
- Shenzhen University, China.
- Institute of Automation, Chinese Academy of Sciences (CASIA)
- Institute of Scientific and Industrial Research, Osaka University, Japan
- Watrix Technology Co., Ltd., China.
Human identification at a distance is a very challenging task, which has long been a popular research topic in the field of computer vision. The gait sequences of different people can be very distinctive, which makes gait an important body characteristic that can be used for human identification. However, to the best of our knowledge, currently there are very few tutorials concerning this important area. In the tutorial we will introduce the history and the recent great progress in this area. They include the challenging problems in gait recognition, such as benchmarks, segmentation, feature representation, recognition.
Outline of the tutorial
- Overview: Motivations, challenges, etc. (~10 minutes)
- Approaches: traditional and deep learning-based(~30 minutes)
- Gait Databases and Evaluation(~20 minutes)
- Gait Recognition for Criminal Investigation (~20 minutes)
- Demonstration (~10 minutes)
Shiqi Yu received his B.E. degree in computer science and engineering from the Chu Kochen Honors College, Zhejiang University in 2002, and Ph.D. degree in pattern recognition and intelligent systems from the Institute of Automation, Chinese Academy of Sciences in 2007. He worked as an assistant professor and then as an associate professor in the Shenzhen Institutes of Advanced Technology, Chinese Academy of Science from 2007 to 2010. Currently, he is an associate professor in the College of Computer Science and Software Engineering, Shenzhen University, China. He is the member of the council of China Society of Image and Graphics, and served as the program chair of the 12th Chinese Conference on Biometric Recognition 2017, and the organization chair of the IAPR/IEEE Winter School on Biometrics 2018 and 2019. He especially focuses on gait recognition since 2003.
Yongzhen Huang received the B.E. degree from Huazhong University of Science and Technology in 2006 and Ph.D. degree from Institute of Automation, Chinese Academy of Sciences (CASIA) in 2011. Then he joined National Laboratory of Pattern Recognition (NLPR) as an Assistant Professor in July 2011, and became an Associated Professor since Nov. 2013. His research interests include computer vision, pattern recognition and machine learning. He has published one book and more than 60 papers in international journals and conferences such as IEEE TPAMI, IJCV, IEEE TIP, IEEE TMSCB, IEEE TCSVT, IEEE TMM, CVPR, ICCV, NIPS, AAAI. He has obtained several honors and awards, including the Excellent Doctoral Thesis of Chinese Association for Artificial Intelligence (2012), the Best Student Paper of Chinese Conference on Computer Vision (2015), the Champion of PASCAL VOC Challenges on object detection (2010 and 2011), the Champion of Internet Contest for Cloud and Mobile Computing on Human Segmentation (2013), and the Second Prize and the Prize of Highest Accuracy with Low Energy in LPIRC (Low-Power Image Recognition Challenge) (2015). Dr. Huang is now a Senior Member of IEEE. He has served as Associate Editor of Neurocomputing, the web chair of AVSS2012, the publicity chair of CCPR2012, the program committee member of 6 conferences, and the peer reviewer of over 20 journals and conferences.
Yasushi Makihara received the B.S., M.S., and Ph.D. degrees in Engineering from Osaka University in 2001, 2002, and 2005, respectively. He is currently an Associate Professor of the Institute of Scientific and Industrial Research, Osaka University. His research interests are computer vision, pattern recognition, and image processing including gait recognition, pedestrian detection, morphing, and temporal super resolution. He is a member of IPSJ, IEICE, RSJ, and JSME. He has obtained several honors and awards, including the 2nd Int. Workshop on Biometrics and Forensics (IWBF 2014), IAPR Best Paper Award, the 9th IAPR Int. Conf. on Biometrics (ICB 2016), Honorable Mention Paper Award, the 28th British Machine Vision Conf. (BMVC 2017), Outstanding Reviewers, the 11th IEEE Int. Conf. on Automatic Face and Gesture Recognition (FG 2015), Outstanding Reviewers, and the 30th IEEE Conf. on Computer Vision and Pattern Recognition (CVPR 2017), Outstanding Reviewers. He has served as an associate editor of IPSJ Transactions on Computer Vision and Applications (CVA), a program co-chair of the 4th Asian Conf. on Pattern Recognition (ACPR 2017), and reviewers of CVPR, ICCV, ECCV, ACCV, ICPR, FG, etc.
Daigo Muramatsu received the B.S.,丂M.E., and Ph.D. degrees in electrical, electronics, and computer engineering from Waseda University, Tokyo, Japan, in 1997, 1999, and 2006, respectively. He is currently an Associate Professor of The Institute of Scientific and Industrial Research, Osaka University. His current research interests include gait recognition, signature verification, and biometric fusion. He is a member of the IEEE, IEICE, and the IPSJ. He has obtained several honors and awards, including the 2nd Int. Workshop on Biometrics and Forensics (IWBF 2014), IAPR Best Paper Award, the 9th IAPR Int. Conf. on Biometrics (ICB 2016), Honorable Mention Paper Award, and the 11th Int. Workshop on Robust Computer Vision (IWRCV 2016), Best Poster Honorable Mention Award.
Liang Wang received both the B. Eng. and M. Eng. degrees in Electronic Engineering from the Department of Electronics Engineering and Information Science, Anhui University (AHU), China, in 1997 and 2000 respectively, and the PhD degree in Pattern Recognition and Intelligent System from the National Laboratory of Pattern Recognition (NLPR), Institute of Automation, Chinese Academy of Sciences (CAS), China, in 2004. After graduation, he has worked as a Research Assistant at the Department of Computing, Imperial College London, United Kingdom and at the Department of Electrical and Computer Systems Engineering, Monash University, Australia, and a Research Fellow at the Department of Computer Science and Software Engineering, University of Melbourne, Australia, respectively. Before he returned back to China, he was a Lecturer with the Department of Computer Science, University of Bath, United Kingdom. Currently, he is a Professor of Hundred Talents Program at the Institute of Automation, Chinese Academy of Sciences, P. R. China. His major research interests include machine learning, pattern recognition, computer vision, multimedia processing, and data mining. He has widely published at highly-ranked international journals such as IEEE TPAMI, IEEE TIP, IEEE TKDE, IEEE TCSVT, IEEE TSMC, CVIU, and PR, and leading international conferences such as CVPR, ICCV and ICDM. He has obtained several honors and awards such as the Special Prize of the Presidential Scholarship of Chinese Academy of Sciences and the Research Commendation from University of Melbourne in recognition of Excellent Research. He is currently a Senior Member of IEEE (Institute of Electrical and Electronics Engineers), as well as a member of IEEE Computer Society, IEEE Communications Society, IEEE Signal Processing Society, and BMVA (British Machine Vision Association). He is serving with more than 20 major international journals and more than 40 major international conferences and workshops. He is an associate editor of IEEE Transactions on Systems, Man and Cybernetics-Part B, IEEE Transactions on Information and Forensic Security, International Journal of Image and Graphics (WorldSci), International Journal of Signal Processing (Elsevier), Neurocomputing (Elsevier), and International Journal of Cognitive Biometrics (Inderscience). He is a leading guest editor of several special issues such as PRL (Pattern Recognition Letters), IJPRAI (International Journal of Pattern Recognition and Artificial Intelligence), IEEE TIFS, and IEEE TSMC-B, as well as a co-editor of 6 edited books. He has also co-chaired 1 invited special session and 8 international workshops. He was a co-PC chair of the 9th IEEE AVSS 2012.
Yasushi Yagi is the Executive Vice President of Osaka university. He received his Ph.D. degrees from Osaka University in 1991. In 1985, he joined the Product Development Laboratory, Mitsubishi Electric Corporation, where he worked on robotics and inspections. He became a Research Associate in 1990, a Lecturer in 1993, an Associate Professor in 1996, and a Professor in 2003 at Osaka University. He was also Director of the Institute of Scientific and Industrial Research, Osaka university from 2012 to 2015. International conferences for which he has served as Chair include: FG1998 (Financial Chair), OMINVIS2003 (Organizing chair), ROBIO2006 (Program co-chair), ACCV2007 (Program chair), PSVIT2009 (Financial chair), ICRA2009 (Technical Visit Chair), ACCV2009 (General chair), ACPR2011 (Program co-chair) and ACPR2013 (General chair). He has also served as the Editor of IEEE ICRA Conference Editorial Board (2007–2011). He is the Editorial member of IJCV and the Editor-in-Chief of IPSJ Transactions on Computer Vision \& Applications. He was awarded ACM VRST2003 Honorable Mention Award, IEEE ROBIO2006 Finalist of T.J. Tan Best Paper in Robotics, IEEE ICRA2008 Finalist for Best Vision Paper, MIRU2008 Nagao Award, and PSIVT2010 Best Paper Award. His research interests are computer vision, medical engineering and robotics. He is a fellow of IPSJ and a member of IEICE, RSJ, and IEEE.
Tieniu Tan received his BSc degree in electronic engineering from Xi’an Jiaotong University, China, in 1984, and his MSc and PhD degrees in electronic engineering from Imperial College London, U.K., in 1986 and 1989, respectively. In October 1989, he joined the Computational Vision Group at the Department of Computer Science, The University of Reading, Reading, U.K., where he worked as a Research Fellow, Senior Research Fellow and Lecturer. In January 1998, he returned to China to join the National Laboratory of Pattern Recognition (NLPR), Institute of Automation of the Chinese Academy of Sciences (CAS), Beijing, China, where he is currently a Professor and the director of Center for Research on Intelligent Perception and Computing (CRIPAC), and was former director (1998-2013) of the NLPR and Director General of the Institute (2000-2007). He is currently also Deputy Director of Liaison Office of the Central People’s Government in the Hong Kong S.A.R. He has published 14 edited books or monographs and more than 600 research papers in refereed international journals and conferences in the areas of image processing, computer vision and pattern recognition. His current research interests include biometrics, image and video understanding, and information content security.