XU Yi-liang

About

Xu Yi-liang is a leading researcher in intelligent visual surveillance systems, with a core focus on autonomous multi-camera coordination, robotic pan-tilt-zoom (PTZ) control, and scalable wide-area monitoring. His most influential work, "Systems and algorithms for autonomous and scalable crowd surveillance using robotic PTZ cameras assisted by a wide-angle camera" (2010, 50 citations), introduced a pioneering framework that leverages a fixed wide-angle camera for broad-area detection and tracking, while directing robotic PTZ cameras to capture high-resolution imagery of specific targets. This dual-camera paradigm dramatically improved both coverage and detail in crowded scenes. Building on this, his 2009 study (12 citations) extended the system to simultaneously observe multiple objects, addressing the challenge of resource allocation among competing requests. Yi-liang also made notable theoretical contributions with his 2008 paper (8 citations) on the least overlapping p-frame problem, developing an approximation algorithm to minimize coverage redundancy among networked cameras. His work bridges practical system design and algorithmic optimization, establishing foundational methods for autonomous, scalable surveillance that continue to influence researchers in robotics, computer vision, and smart city infrastructure.

Research Focus

Key Achievements

Top Papers

1. 1
   Systems and algorithms for autonomous and scalable crowd surveillance using robotic PTZ cameras assisted by a wide-angle camera

   50 citations · 2010
2. 2
   Systems and algorithms for autonomously simultaneous observation of multiple objects using robotic PTZ cameras assisted by a wide-angle camera

   12 citations · 2009
3. 3
   An approximation algorithm for the least overlapping p-Frame problem with non-partial coverage for networked robotic cameras

   8 citations · 2008

Key Collaborators

Contact & Links