Suwon-si, South Korea

Duc Dung Nguyen


Average Co-Inventor Count = 6.0

ph-index = 1

Forward Citations = 1(Granted Patents)


Company Filing History:


Years Active: 2012

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1 patent (USPTO):Explore Patents

Title: Duc Dung Nguyen: Innovator in Image Processing Technology

Introduction

Duc Dung Nguyen is a prominent inventor based in Suwon-si, South Korea. He has made significant contributions to the field of image processing, particularly in real-time motion detection technologies. His innovative work has the potential to enhance various applications in surveillance, robotics, and interactive systems.

Latest Patents

Duc Dung Nguyen holds a patent for an "Image processing apparatus and method for real-time motion detection." This invention provides a sophisticated apparatus that utilizes a sub-sampling module to receive and sub-sample current and previous images. A census transform module then performs a census transform on these images to generate a census vector. The correlation calculation module calculates and compares correlation values between the current image and previous images, detecting regions with the highest correlation. Finally, the motion detection module tracks pixel positions in these regions to extract motion information in real time. This technology can effectively determine the direction and speed of moving objects within images.

Career Highlights

Duc Dung Nguyen is affiliated with Sungkyunkwan University, where he continues to advance his research in image processing and related fields. His work is characterized by a commitment to innovation and practical applications that address real-world challenges.

Collaborations

Duc Dung Nguyen has collaborated with notable colleagues, including Jae Wook Jeon and Seung Hun Jin. Their joint efforts contribute to the advancement of technology in image processing and motion detection.

Conclusion

Duc Dung Nguyen's contributions to image processing technology exemplify the impact of innovative thinking in addressing complex challenges. His patent for real-time motion detection showcases his expertise and commitment to advancing the field.

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