Presentation | 1997/11/20 Realtime Face Detection and Tracking System Using Color Images Gang Xu, Takeo SUGIMOTO, |
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PDF Download Page | PDF download Page Link |
Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | This paper describes a practical system that can robustly detect multiple human faces with unknown sizes and positions in complex backgrounds from color images in real time. It can also track one face in realtime. Skin color is modeled as a Gaussian distribution among different persons within the same race. Detected skin pixels are grouped into regions whose centroids and areas are recorded. If dark regions for eyes and eyebrows are also detected within these regions. the they are regarded as faces. Experimental results show that this approach is very fast and robust. The detection phase takes 0.3 sec. and the tracking takes 0.17 sec. per frame, both including the image tranfer time 0.13 sec. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | Face Detection / Face Tracking / Realtime / Color Images / Skin Color Model |
Paper # | HIP97-11 |
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Committee | HIP |
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Conference Date | 1997/11/20(1days) |
Place (in Japanese) | (See Japanese page) |
Place (in English) | |
Topics (in Japanese) | (See Japanese page) |
Topics (in English) | |
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Paper Information | |
Registration To | Human Information Processing (HIP) |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | Realtime Face Detection and Tracking System Using Color Images |
Sub Title (in English) | |
Keyword(1) | Face Detection |
Keyword(2) | Face Tracking |
Keyword(3) | Realtime |
Keyword(4) | Color Images |
Keyword(5) | Skin Color Model |
1st Author's Name | Gang Xu |
1st Author's Affiliation | Computer Vision Laboratory, Department of Computer Science Ritsumeikan University() |
2nd Author's Name | Takeo SUGIMOTO |
2nd Author's Affiliation | Computer Vision Laboratory, Department of Computer Science Ritsumeikan University |
Date | 1997/11/20 |
Paper # | HIP97-11 |
Volume (vol) | vol.97 |
Number (no) | 388 |
Page | pp.pp.- |
#Pages | 8 |
Date of Issue |