Company Filing History:
Years Active: 2014
Title: Innovations by Jiann Cherng Luo
Introduction
Jiann Cherng Luo is a notable inventor based in Taipei, Taiwan. He has made significant contributions to the field of video surveillance technology. His innovative approach focuses on enhancing object tracking across multiple camera systems.
Latest Patents
Jiann Cherng Luo holds a patent for a "Correction method for object linking across video sequences in a multiple camera video surveillance system." This invention discloses a correction method and system for object linking in video sequences captured by a multiple camera surveillance video system. The invention allows a user to select a specific object to track and for trace correction through an interactive user platform. The interactive user platform shows a video sequence captured by the user-selected camera at the selected time, lists of previous and post video sequences related to the user-selected object or video sequences, and lists of object linking results before and after the selected time. The user refers to the linking results, shown in lists of object linking results before and after the selected time to select one of the objects for correction in the selected frame of the selected video sequence. The selection directs the proposed system to correct the trace of the specific object to track. Henceforth, the correct linking results can be automatically generated. Jiann Cherng Luo has 1 patent to his name.
Career Highlights
Jiann Cherng Luo is currently employed at Gorilla Technology Inc., where he continues to develop innovative solutions in video surveillance. His work has been instrumental in advancing the capabilities of surveillance systems.
Collaborations
Some of his notable coworkers include Sze-Yao Ni and Tom Ci Lin, who contribute to the collaborative environment at Gorilla Technology Inc.
Conclusion
Jiann Cherng Luo's contributions to video surveillance technology exemplify the impact of innovative thinking in enhancing security systems. His patent reflects a significant advancement in object tracking methodologies.