Summer Seminar Series on Gigabit Image Technologies 第二場演講，將由華盛頓大學電機系黃正能教授主講，歡迎報名參加!
主題| Coordinated Exploitation of Big Visual Data Under 5G Era
主講人| Professor Jenq-Neng Hwang, University of Washington, Seattle, USA
時間| July 20, 2022, Wednesday, 2:00 P.M.-3:30 P.M.
報名連結| https://bit.ly/3nUoKLo
摘要|
With the huge amount of networked video cameras available everywhere nowadays, such as the statically deployed surveillance cameras or the constantly moving cameras on the vehicles or drones, there is an urgent need of systematic and coordinated exploration of the dynamic environment in the 3D physical world, so that the explored information can be exploited for various smart city applications, such as security surveillance, intelligent transportation, autonomous driving, business statistics collection, health monitoring of communities, and etc. In this talk, I will first present an automated and robust human/vehicle tracking directly in 3D space through self-calibration of static and moving monocular cameras. When the cameras fail to reliably achieve these tasks due to poor lighting or adverse weather conditions, a radio object detection and tracking framework to detect and track objects purely from radio signals captured by mmWave radars based on an innovative cross-modal supervision framework. These tracked objects locations and speed, as well as their sizes and poses, can all be described based on the global coordinates, so that the tracked objects from multiple cameras can then be real-time integrated and reconstructed, under the 5G ultra reliable and low latency communication (URLLC) environments, in the 3D real-world space for many smart city and intelligent transportation applications.
Bio|
Dr. Jenq-Neng Hwang received the BS and MS degrees, both in electrical engineering from the National Taiwan University, Taipei, Taiwan, in 1981 and 1983 separately. He then received his Ph.D. degree from the University of Southern California. In the summer of 1989, Dr. Hwang joined the Department of Electrical and Computer Engineering (ECE) of the University of Washington in Seattle, where he has been promoted to Full Professor since 1999. He served as the Associate Chair for Research from 2003 to 2005, and from 2011-2015. He also served as the Associate Chair for Global Affairs from 2015-2020. He is the founder and co-director of the Information Processing Lab., which has won CVPR AI City Challenges awards in the past years. He has written more than 400 journal, conference papers and book chapters in the areas of machine learning, multimedia signal processing, and multimedia system integration and networking, including an authored textbook on "Multimedia Networking: from Theory to Practice," published by Cambridge University Press. Dr. Hwang has close working relationship with the industry on multimedia signal processing and multimedia networking.
Dr. Hwang received the 1995 IEEE Signal Processing Society's Best Journal Paper Award. He is a founding member of Multimedia Signal Processing Technical Committee of IEEE Signal Processing Society and was the Society's representative to IEEE Neural Network Council from 1996 to 2000. He is currently a member of Multimedia Technical Committee (MMTC) of IEEE Communication Society and also a member of Multimedia Signal Processing Technical Committee (MMSP TC) of IEEE Signal Processing Society. He served as associate editors for IEEE T-SP, T-NN and T-CSVT, T-IP and Signal Processing Magazine (SPM). He is currently on the editorial board of ZTE Communications, ETRI, IJDMB and JSPS journals. He served as the General Co-Chairs of IEEE World AI I0T Congress 2011 and 2022, the Program Co-Chairs of IEEE ICME 2016, ICASSP 1998 and ISCAS 2009. Dr. Hwang is a fellow of IEEE since 2001.
