Location History:
- Yunlin County, TW (2013 - 2014)
- Xiluo Township, Yunlin County, TW (2016)
Company Filing History:
Years Active: 2013-2016
Title: Innovations by Tai-Hui Huang
Introduction
Tai-Hui Huang is a notable inventor based in Yunlin County, Taiwan. He has made significant contributions to the field of image processing and classification, holding a total of 3 patents. His work focuses on developing advanced methods for automatic image classification and moving object detection.
Latest Patents
One of his latest patents is an "Unsupervised adaptation method and automatic image classification method applying the same." This invention provides a method for classifying images by grouping non-manually-labeled observation data into several groups. Each group is assigned a hypothesis label based on a classifier, which is then adjusted according to the suitability of the observation data for improving classification accuracy.
Another significant patent is the "Moving object detection method and image processing system for moving object detection." This method computes a pixel-wise distance of a received image to a reference image, creating a distance map. Through histogram analysis and entropy value computation, the method establishes a decision threshold that classifies pixels into foreground and background attributes, effectively identifying moving objects in images.
Career Highlights
Tai-Hui Huang is affiliated with the Industrial Technology Research Institute, where he continues to innovate and develop new technologies. His work has had a substantial impact on the fields of image processing and machine learning.
Collaborations
He has collaborated with notable coworkers such as Wen-Hao Wang and Ming-Yu Shih, contributing to various projects and advancements in technology.
Conclusion
Tai-Hui Huang's contributions to image processing and classification demonstrate his innovative spirit and commitment to advancing technology. His patents reflect a deep understanding of complex algorithms and their practical applications in real-world scenarios.