Taipei, Taiwan

Chun-Jung Chen


Average Co-Inventor Count = 12.0

ph-index = 1


Company Filing History:


Years Active: 2023

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1 patent (USPTO):Explore Patents

Title: Innovations of Chun-Jung Chen in Object Detection Technology.

Introduction

Chun-Jung Chen is a notable inventor based in Taipei, Taiwan. He has made significant contributions to the field of object detection and analysis through his innovative methods and systems. His work is characterized by the integration of various imaging technologies to enhance object recognition capabilities.

Latest Patents

Chun-Jung Chen holds a patent for a "Method and system for detecting and analyzing objects." This patent describes a comprehensive approach to detecting objects and labeling them with distances in an image. The method involves obtaining a thermal image from a thermal camera, an RGB image from an RGB camera, and radar information from an mmWave radar. It includes steps for adjusting the thermal image based on the RGB image to generate an adjusted thermal image, and generating a fused image based on the RGB image and the adjusted thermal image. The process further includes generating a second fused image based on the fused image and the radar information, detecting objects in the images, and generating another fused image that includes bounding boxes marking the objects. Additionally, it determines motion parameters of the objects.

Career Highlights

Chun-Jung Chen has worked with prominent organizations such as Micromax International Corporation and National Taiwan University. His experience in these institutions has allowed him to refine his skills and contribute to advancements in technology.

Collaborations

Chun-Jung Chen has collaborated with notable colleagues, including Kai-Lung Hua and Yung-Yao Chen. Their joint efforts have further propelled innovations in the field of object detection.

Conclusion

Chun-Jung Chen's work exemplifies the intersection of technology and innovation in object detection. His contributions are paving the way for advancements in how we analyze and interpret visual data.

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