Title :
Robust Light Objects Recognition Based on Computer Vision
Author :
Chen, Yi-Yuan ; Lan, Kuen-Ming ; Pai, Hung-I ; Chuang, Jen-Hui ; Yuan, Chii-Yah
Author_Institution :
Ind. Technol. Res. Inst., Chutung, Taiwan
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.
Keywords :
computer vision; object recognition; video signal processing; blinking frequency; computer vision; geometric arrangement; image recognition unit; light communication system; light object recognition; Cameras; Computer vision; Data communication; Humans; Image processing; Image recognition; Light emitting diodes; Object recognition; Robustness; Wireless communication; intelligent transport systems; light emitting diode; visible light communication system;
Conference_Titel :
Pervasive Systems, Algorithms, and Networks (ISPAN), 2009 10th International Symposium on
Conference_Location :
Kaohsiung
Print_ISBN :
978-1-4244-5403-7
DOI :
10.1109/I-SPAN.2009.16
