@inproceedings{zhang2006light,
author = {Zhang, Cha and Rui, Yong and He, Li-wei},
title = {Light Weight Background Blurring for Video Conferencing Applications},
booktitle = {2006 International Conference on Image Processing},
year = {2006},
month = {October},
abstract = {Background blurring is an effective way to both preserving privacy and keeping communication effective during video conferencing. This paper proposes a light weight real-time algorithm to perform background blurring using a fast background modeling algorithm combined with a face detector/tracker. A soft decision is made at each pixel whether it belongs to the foreground or the background based on multiple vision features. The classification results are mapped to a per-pixel blurring radius image to blur the background. The algorithm produces satisfactory results under a wide range of conditions, and occupies less than 30% of the CPU cycles on a 3GHz Pentium 4 machine without further optimization.},
publisher = {IEEE},
url = {http://approjects.co.za/?big=en-us/research/publication/light-weight-background-blurring-video-conferencing-applications/},
pages = {481-484},
edition = {2006 International Conference on Image Processing},
}