Horng-Horng Lin

Title: Horng-Horng Lin: Innovator in Video Object Localization and Background Model Learning

Introduction

Horng-Horng Lin is a prominent inventor based in Hsinchu County, Taiwan. He has made significant contributions to the fields of video object localization and background model learning, holding a total of four patents. His innovative work has implications for video surveillance and object tracking technologies.

Latest Patents

One of Lin's latest patents is a "Video object localization method using multiple cameras." This efficient 3D object localization method utilizes multiple cameras to generate two-dimensional line samples from a pre-calibrated vanishing point in each camera view. It constructs three-dimensional line samples from these two-dimensional representations and determines object locations by clustering the samples into groups.

Another notable patent is the "Background model learning system for lighting change adaptation utilized for video surveillance." This system includes a background model estimation unit that estimates a background model for a scene of interest. It also features a foreground map construction unit that creates a reference foreground map and a lighting change processing unit that revises this map to reduce false foreground regions caused by lighting changes. The system is designed to improve model learning rates and map integration for enhanced video surveillance.

Career Highlights

Horng-Horng Lin has worked with notable companies such as Qnap Systems, Inc. and Altek Corporation. His experience in these organizations has contributed to his expertise in developing advanced technologies in video processing and surveillance.

Collaborations

Lin has collaborated with talented individuals in his field, including Hong-Long Chou and Chia-Chun Tseng. These collaborations have likely fostered innovation and the exchange of ideas, further enhancing his contributions to technology.

Conclusion

Horng-Horng Lin is a distinguished inventor whose work in video object localization and background model learning has made a significant impact on technology. His patents reflect his commitment to advancing the field and improving video surveillance systems.