Robust light objects recognition based on computer vision

Yi Yuan Chen*, Kuen Ming Lan, Hung I. Pai, Jen-Hui Chuang, Chii Yah Yuan

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

3 Scopus citations

Abstract

This paper proposes a recognition method for light objects in a video for real-time application and the movement of the surrounding objects. The method extracts the objects by considering known geometric arrangements and blinking frequency, while the latter is also used to remove the image noise. Therefore, locations of the light objects can be found rapidly, and the on-off blinking states of these objects can be recognized accordingly if the frame rate of the video is sufficient. Besides, it can be used in the image recognition unit of a light communication system.

Original languageEnglish
Title of host publicationI-SPAN 2009 - The 10th International Symposium on Pervasive Systems, Algorithms, and Networks
Pages508-514
Number of pages7
DOIs
StatePublished - 1 Dec 2009
Event10th International Symposium on Pervasive Systems, Algorithms, and Networks, I-SPAN 2009 - Kaohsiung, Taiwan
Duration: 14 Dec 200916 Dec 2009

Publication series

NameI-SPAN 2009 - The 10th International Symposium on Pervasive Systems, Algorithms, and Networks

Conference

Conference10th International Symposium on Pervasive Systems, Algorithms, and Networks, I-SPAN 2009
CountryTaiwan
CityKaohsiung
Period14/12/0916/12/09

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