ICIP 2006, Atlanta, GA
 

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Paper Detail

Paper:MA-P7.6
Session:Image/Video Processing Applications: Systems and Applications
Time:Monday, October 9, 09:40 - 12:20
Presentation: Poster
Topic: Other Areas and Applications: Other
Title: LIGHT WEIGHT BACKGROUND BLURRING FOR VIDEO CONFERENCING APPLICATIONS
Authors: Cha Zhang; Microsoft Research 
 Yong Rui; Microsoft Research 
 Li-Wei He; Microsoft Research 
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.