Location History:
- Seoul, KR (2016)
- Changwon, KR (2016)
Company Filing History:
Years Active: 2016
Title: Kwang Moo Yi: Innovator in Object Detection Technology
Introduction
Kwang Moo Yi, based in Seoul, South Korea, is an accomplished inventor known for his contributions to object detection technology. With a total of two patents to his name, he has significantly advanced the field, particularly through innovative methods and apparatus for detecting objects and abnormal movements.
Latest Patents
Kwang Moo Yi's latest inventions include two noteworthy patents:
1. **Apparatus and method for detecting object using PTZ camera** – This patent describes an apparatus designed to detect objects by utilizing a filter to process current input images. It features a background model generated from previous images, facilitating the alignment of images and enabling effective foreground and background detection.
2. **Method and apparatus for detecting abnormal movement** – This invention focuses on dynamically detecting abnormal movements in moving objects. It includes a feature tracing unit that extracts and tracks features over time, along with a learning unit to classify images by trajectory bundles, thereby inferring movement patterns based on learned correlations.
Career Highlights
Throughout his career, Kwang Moo Yi has collaborated with notable companies such as Hanwha Techwin Co., Ltd. and the Seoul National University Industry Foundation. His work has significantly contributed to advancements in surveillance and motion detection technologies, enhancing their effectiveness and reliability.
Collaborations
Kwang Moo Yi has worked alongside talented individuals, including Jin Young Choi and Young Joon Yoo, further enriching his experience in the field of technology and research. These collaborations have fostered innovation and propelled the development of cutting-edge solutions in object detection.
Conclusion
Kwang Moo Yi stands as a testament to the spirit of innovation in the realm of technology. His patents illustrate his commitment to enhancing how we detect and interpret movement in various environments. As the technology continues to evolve, his contributions set a solid foundation for future advancements in object detection systems.