NDLI: A background subtraction for a vision-based user interface

Content Provider	IEEE Xplore Digital Library
Author	Dongpyo Hong Woontack Woo
Copyright Year	2003
Description	Author affiliation: KJIST U-VR Lab., South Korea (Dongpyo Hong; Woontack Woo)
Abstract	In this paper, we propose a robust and efficient background subtraction algorithm for a vision-based user interface. We separate a user of interest as precisely as possible from the acquired images in order to convey the user's intension properly into the system through the vision-based user interface. Although the background subtraction techniques have been adopted in many vision-based interfaces to extract or track moving objects of interest in the images, they still suffer from the changes of lighting, such as shadows and highlighting. The proposed method removes effectively such interferences of lighting changes by exploiting pixel-wise statistical characteristics and threshold values in the well-known two color spaces (RGB and normalized RGB). According to experimental results, the proposed algorithm can be applied to various applications requiring real-time segmentation from the image sequences on the fly.
Sponsorship	Microsoft Res. Asia Singapore Exhibition and Convention Bureau
Starting Page	263
Ending Page	267
File Size	400170
Page Count	5
File Format	PDF
ISBN	0780381858
DOI	10.1109/ICICS.2003.1292456
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2003-12-15
Publisher Place	Singapore
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	User interfaces Subtraction techniques Robustness Interference Image segmentation Image sequences Sensor systems Data mining Gaussian distribution
Content Type	Text
Resource Type	Article

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