Presentation 2003/11/13
Face Detection and Tracking Using SSR Filter and SVM
Shinjiro KAWATO, Nobuji TETSUTANI,
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Abstract(in English) In this paper, we propose a method for detection and tracking of faces in video sequences in real time. It can be applied to a wide range of face scales. Our basic strategy for detection is fast extraction of face candidates with a Six-Segmented Rectangular (SSR) filter and face verification by a support vector machine. A motion cue is used in a simple way to avoid picking up false candidates in the background. In face tracking, the patterns of between-the-eyes are tracked with updating template matching. To cope with various scales of faces, we use a series of approximately 1/√<2> scale-down images, and an appropriate scale is selected according to the distance between the eyes. We tested our algorithm with 7146 frames of a broadcasted sign language news video of 320x240 frame size, in which one or two persons appeared. Although gesturing hands often hid faces and interrupted tracking, 89% of faces were correctly tracked. We implemented the system on a PC with a Xeon 2.2-GHz CPU, running at 15 frames/second without any special hardware.
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Keyword(in English) face / eyes / detection / tracking / SSR-filter / SVM
Paper # PRMU2003-148,HIP2003-54
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Conference Information
Committee HIP
Conference Date 2003/11/13(1days)
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Registration To Human Information Processing (HIP)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Face Detection and Tracking Using SSR Filter and SVM
Sub Title (in English)
Keyword(1) face
Keyword(2) eyes
Keyword(3) detection
Keyword(4) tracking
Keyword(5) SSR-filter
Keyword(6) SVM
1st Author's Name Shinjiro KAWATO
1st Author's Affiliation ATR MIS Laboratories Keihanna Science Sity()
2nd Author's Name Nobuji TETSUTANI
2nd Author's Affiliation ATR MIS Laboratories Keihanna Science Sity
Date 2003/11/13
Paper # PRMU2003-148,HIP2003-54
Volume (vol) vol.103
Number (no) 454
Page pp.pp.-
#Pages 6
Date of Issue