Taipei, Taiwan

Chun-Fu Shen


Average Co-Inventor Count = 4.0

ph-index = 1

Forward Citations = 1(Granted Patents)


Company Filing History:


Years Active: 2013

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1 patent (USPTO):Explore Patents

Title: Innovations of Chun-Fu Shen in Image Object Tracking

Introduction

Chun-Fu Shen is a notable inventor based in Taipei, Taiwan. He has made significant contributions to the field of image processing, particularly in object tracking technologies. His innovative approach has led to the development of a unique patent that enhances the efficiency of tracking objects within images.

Latest Patents

Chun-Fu Shen holds a patent for "Image object tracking using a particle filter." This invention utilizes a particle filter to effectively track a specific object within a frame. The system comprises a frame cache, an observation model generator, and a particle filter controller. The frame cache connects to system memory via a system bus, storing all image blocks of the frame. The observation model generator reads pixels from the frame cache to create an observation model corresponding to the object. Finally, the particle filter controller processes the observation model to determine and output the tracking result of the object.

Career Highlights

Chun-Fu Shen is currently employed at Vatics Inc., where he continues to innovate in the field of image processing. His work has garnered attention for its practical applications in various industries, including surveillance and robotics. With a focus on enhancing object tracking capabilities, he has positioned himself as a key player in this technological domain.

Collaborations

Chun-Fu Shen collaborates with talented individuals such as Der-Chun Cherng and Sheng-Yan Yang. Their combined expertise fosters a creative environment that drives innovation and leads to groundbreaking advancements in their field.

Conclusion

Chun-Fu Shen's contributions to image object tracking through his patented technology exemplify the impact of innovative thinking in the realm of image processing. His work not only advances the field but also sets a foundation for future developments in object tracking systems.

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