Company Filing History:
Years Active: 2013-2015
Title: Yan-Chen Lu: Innovator in Sound Source Monitoring and Image Object Tracking
Introduction
Yan-Chen Lu is a prominent inventor based in Taipei, Taiwan. He has made significant contributions to the fields of sound source monitoring and image processing. With a total of 2 patents, his work showcases innovative solutions that enhance technology in these areas.
Latest Patents
Yan-Chen Lu's latest patents include a sound source monitoring system and method thereof. This system comprises a sound receiving module, a sound detection module, a sound source localization module, and a camera module. The sound receiving module is designed to capture multiple sound signals. The sound detection module processes these signals to determine their quality and relevance. The sound source localization module identifies the location of the sound source, while the camera module captures images corresponding to this location.
Another notable patent is related to image object tracking using a particle filter. This invention utilizes a particle filter to track specific objects within a frame. The system includes a frame cache, an observation model generator, and a particle filter controller. The frame cache stores image blocks, while the observation model generator creates models based on pixel data. The particle filter controller then processes these models to achieve accurate object tracking results.
Career Highlights
Yan-Chen Lu is currently employed at Vatics Inc., where he continues to develop innovative technologies. His work has positioned him as a key figure in the advancement of sound and image processing technologies.
Collaborations
He collaborates with talented coworkers, including An-Chi Hu and Chun-Fu Shen, who contribute to the innovative environment at Vatics Inc.
Conclusion
Yan-Chen Lu's contributions to sound source monitoring and image object tracking demonstrate his commitment to innovation. His patents reflect a deep understanding of technology and its applications in real-world scenarios.