Dr. Xiao Zhou is an associate professor at Wuhan University of Technology. Since 2017, he has been a visiting scholar at UC Berkeley's Institute of Transportation Studies and California Partners for Advanced Transit and Highways (PATH). His main research fields include: image processing, pattern recognition, machine vision, and their applications in intelligent transportation, medical image processing, industrial inspection, and photo-electronic measurement systems. Dr. Zhou's research collaborator at UC Berkeley is Wei-Bin Zhang.
Dr. Zhou obtained his Bachelor degree in computer science from China University of Geosciences in 2000. After working at a software company for two years as a senior programmer, he earned his Ph.d. in Control Science and Engineering from IPRAI, Huazhong University of Science and Technology, in 2009. Dr. Zhou worked as a associate professor at Wuhan University of Technology, where he has actively participated in many research projects spanning a variety of areas including but not limited to: intelligent traffic surveillance, visual navigation, industrial flaw detection, and photo-electronic measurement.
1. Zhou Xiao, Zheng xiaoliang, Ou Kejun, A real-time power line detect system based on stereo vision, IEEE International Conference on Image, Vision and Computing. 2017.
2. Mou Xingang, Zhao Jianxin, Zhou Xiao, Automatic settlement monitoring based on high-precision level, International conference on Mechatronics and Industrial Informatics, 2015.
4. Zhou Xiao, Hu Ruo-lan, Zhang Gui-lin. Robust similarity measurement based on gray change consensus for target tracking, SPIE Seventh International Symposium on Multi-spectral Image, 2011.
5. Zhou Xiao, Hu Ruo-lan, Zhang Gui-lin. Second order morphology algorithm for IR small target enhancement in sea clutter background. 2010 International Conference on Optics,Photonics and Energy, 2010.