Company Filing History:
Years Active: 2014
Title: Innovations of Yun Tie in Body Part Detection
Introduction
Yun Tie is an accomplished inventor based in Mississauga, Canada. He has made significant contributions to the field of technology, particularly in the area of body part detection and tracking. His innovative approach has led to the development of a unique method that enhances the capabilities of mobile devices in analyzing video streams.
Latest Patents
Yun Tie holds a patent for an "Efficient system and method for body part detection and tracking." This patent describes a method for detecting a body part in a video stream from a mobile device. The process begins with receiving a video stream of a human subject from a camera connected to the mobile device. The video stream consists of multiple frames, and the first frame is identified for processing. This frame is then partitioned into observation windows, each containing pixels. Non-skin-toned pixels are eliminated in each observation window, and the remaining pixels are analyzed to determine their degree of entropy. If an observation window exhibits a degree of entropy above a predetermined threshold, a bounded area is created around the region of high entropy pixels. The consistency of the entropy is then analyzed in this bounded area. If the bounded area shows inconsistently high entropy, a body part is determined to be detected in that area. This innovative method has the potential to improve various applications in mobile technology.
Career Highlights
Yun Tie is currently associated with 2343127 Ontario Inc., where he continues to work on advancing his research and development efforts. His dedication to innovation has positioned him as a key player in the field of mobile technology.
Collaborations
Yun Tie collaborates with talented individuals such as Oliver (“Lake”) Watkins, Jr. and Yousuf Chowdhary. Their combined expertise fosters a creative environment that drives innovation and enhances the development of new technologies.
Conclusion
Yun Tie's contributions to body part detection and tracking represent a significant advancement in mobile technology. His innovative methods and collaborative efforts continue to pave the way for future developments in this exciting field.