Hung‐Jie Tzeng

National Taiwan University of Science and Technology

Papers

Total Citations

H-Index

About

Hung-Jie Tzeng has made focused contributions to the evolution of smart surveillance systems, with a particular emphasis on mobility, remote access, and intelligent recognition. His core research integrates service-oriented architectures (OSGi) with computer vision (OpenCV) to create dynamic, recognition-assisted surveillance platforms. His most cited works, including "Practical design and implementation of recognition assisted dynamic surveillance system" (2011, 6 citations) and "Design and implementation of an OSGi-centric remote mobile surveillance system" (2009, 6 citations), address a critical limitation of conventional fixed-camera, stationary-viewer setups. Tzeng’s key innovation lies in enhancing mobility at both the viewer and camera ends, enabling real-time monitoring from mobile devices while incorporating automated event recognition. His 2010 paper on a mobile home surveillance system (5 citations) further extends this paradigm to domestic security. By combining OSGi’s modular service framework with OpenCV’s image processing capabilities, Tzeng’s work demonstrates a practical pathway toward more responsive, user-centric surveillance. His research is particularly notable for bridging the gap between embedded systems and intelligent video analysis, laying groundwork for modern IoT-based security solutions. With a cumulative citation count reflecting steady academic interest, Tzeng’s contributions remain relevant for researchers exploring decentralized, recognition-driven surveillance architectures.