Miao Yu(于淼)
Lecturer
School of Computer Science,
University of Lincoln
PROJECTS
Project | 01
Signal Processing Solutions for the Networked Battlespace
From 2013 to 2017, I worked on one work package for the project--Signal Processing Solutions for the Networked Battlespace, supported by the UK Engineering and Physical Sciences Research Council (EPSRC) and the Minister of Defence (MOD) University Defence Research Collaboration in Signal Processing. The work package focues on the application of the domain knowledge for improving signal processing performance in different applications. One example is exploiting the particle filtering technique for the object tracking, with the dynamic Bayesian network being applied to incoporate the geographical information as priors.
Project | 02
Computer Vision Based Fall Detection Techniques Toward Assistant Living
My PhD work focuses on developing non-intrusive fall detection techniques, by the aid of image/video processing and machine learning techniques. Features (i.e., head/body centroid position, projection histogram and skeleton features) extracted from video streams are applied to construct supervised and unsupervied models (such as the SVM) for the fall detection
Other Involved Projects
• Audio and Video Based Speech Separation for Multiple Moving Sources within a Room Environment, supported by EPSRC, 2010–2013
• Greater Autonomy for Unmanned Vehicles: Situational Awareness and Decision Making under Uncertainty, supported by EPSRC, 2012–2016
• Development and implementation of advanced detection algorithms by FPGA, international collaboration project with Nanjing University of Aeronautics and Astronautics, 2015–2016
• Multiple human tracking with particle PHD filtering, PhD program related to the EPSRC project Signal Processing Solutions for the Networked Battlespace
• Contextual Information Aided Target Tracking and Motion Planning for Autonomous Ground Vehicles, PhD program related to the EPSRC project Signal Processing Solutions for the Networked Battlespace
• Tracking and estimating the boundary and the source term of hazardous substances, PhD program, Loughborough University
• Detection and recognition of the expiry date on the food package (Demo)