Robust Light Objects Recognition Based on Computer Vision

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. Th...

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Bibliographic Details
Main Authors: Chen, Yi-Yuan, Lan, Kuen-Ming, Pai, Hung-I, Chuang, Jen-Hui, Yuan, Chii-Yah
Format: Conference Proceeding
Language:English
Subjects:
Cameras
Computer vision
Data communication
Humans
Image processing
Image recognition
intelligent transport systems
light emitting diode
Light emitting diodes
Object recognition
Robustness
visible light communication system
Wireless communication
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Description
Summary: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.
ISSN:1087-4089
2375-527X
DOI:10.1109/I-SPAN.2009.16