Sheng Luo

Papers

Total Citations

H-Index

About

Sheng Luo is a researcher focused on computer vision and robotics, with a particular emphasis on real-time tracking systems. His most-cited work, "Vision Based People Tracking System" (2019), presents a practical framework for detecting and following moving individuals in video sequences, designed for integration into mobile robot vision systems. The paper outlines a two-part architecture that enables robust target tracking, offering a scalable solution for autonomous navigation and human-robot interaction. While his citation count is currently modest, this foundational contribution demonstrates Luo's commitment to bridging theoretical computer vision with applied robotics. His work holds potential for advancing assistive technologies, surveillance, and autonomous systems, making it a valuable reference for students and researchers exploring low-cost, vision-based tracking solutions.