Chao-Hong Chiang

Papers

Total Citations

H-Index

About

Chao-Hong Chiang is a researcher specializing in computer vision and intelligent surveillance systems, with a particular focus on abnormal event detection and scene understanding from moving cameras. His most-cited work, "Abnormal Scene Change Detection from a Moving Camera Using Bags of Patches and Spider-Web Map" (2014, 15 citations), addresses a critical challenge in mobile robotics: detecting exceptional scene changes as abnormal events when a camera is mounted on a moving platform. Unlike traditional fixed-camera surveillance, Chiang's approach innovatively tackles three core problems—scene construction, robot localization, and anomaly detection—by introducing a "bags of patches" representation and a "spider-web map" structure. This work bridges the gap between static and mobile surveillance, enabling robots to autonomously identify unusual environmental changes in real time. Chiang's contributions are particularly valuable for applications in autonomous navigation, security robotics, and dynamic environment monitoring. While his citation count reflects the niche yet foundational nature of his research, his methodological innovations have influenced subsequent work in mobile vision systems. His research demonstrates a commitment to pushing the boundaries of computer vision beyond conventional constraints, offering practical solutions for intelligent, adaptive surveillance in uncontrolled environments.