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Current Result Document :
10
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ÀÌÀü°Ç
ÇѱÛÁ¦¸ñ(Korean Title)
°¨½Ã ½Ã½ºÅÛ¿¡¼ SVDD¿Í SRC¸¦ ÀÌ¿ëÇÑ ¹üÁË ¿ëÀÇÀÚ ¾ó±¼ ½Äº°
¿µ¹®Á¦¸ñ(English Title)
A Suspected Criminal Face Identification via SVDD and SRC in Surveillance System
ÀúÀÚ(Author)
ÀÌÁ¾¿í
°ºÀ¼ö
ÀÌÇѼº
Á¤¿ëÈ
¹Ú´ëÈñ
Jonguk Lee
Bongsu Kang
Hansung Lee
Yongwha Chung
Daihee Park
¿ø¹®¼ö·Ïó(Citation)
VOL 17 NO. 02 PP. 0135 ~ 0139 (2011. 02)
Çѱ۳»¿ë
(Korean Abstract)
º» ³í¹®¿¡¼´Â ºñµð¿À ¼º£ÀÏ·±½º ½Ã½ºÅÛ¿¡¼ ŽÁöµÈ ¾ó±¼ À̹ÌÁö¸¦ ÀÌ¿ëÇÏ¿© ¹üÁËÀÚ °¨½Ã¸ñ·Ï¿¡ µî·ÏµÈ ¹üÁË ¿ëÀÇÀÚ¸¦ ½Äº°ÇÏ´Â ½Ã½ºÅÛÀ» ¼³°è ¹× ±¸ÇöÇÏ¿´´Ù. ƯÈ÷ Á¦¾ÈµÈ SVDD¿Í SRC¸¦ È¥ÇÕÇÑ °èÃþÀû ±¸Á¶ÀÇ ¹üÁË ¿ëÀÇÀÚ ½Äº° ½Ã½ºÅÛÀº ´ÙÀ½°ú °°Àº ½Ã½ºÅÛ ¼³°è ¿ä±¸»çÇ×µéÀ» ¸ðµÎ ¸¸Á·ÇÏ´Â Â÷¿ø¿¡¼ ¼³°è ¹× ±¸ÇöµÇ¾ú´Ù: 1) SVDD¸¦ ÀÌ¿ëÇÏ¿© ¹üÁË ¿ëÀÇÀÚ¸¸À» ºü¸£°Ô ÀνÄÇÔÀ¸·Î½á, ÀϹÝÀο¡ ´ëÇÑ ºÒÇÊ¿äÇÑ ¹üÁËÀÚ ½Äº° ¿¬»êÀ» ¼öÇàÇÏÁö ¾Ê´Â´Ù; 2) ½Äº° ¼º´ÉÀ» ÀúÇØÇÏ´Â ´Ù¾çÇÑ È¯°æ¿¡¼µµ ÀÌ¹Ì °ÀÎÇÑ ¼º´ÉÀÌ °ËÁõµÈ SRC¸¦ ¹üÁË ¿ëÀÇÀÚ ½Äº°°úÁ¤¿¡ Àû¿ëÇÔÀ¸·Î½á ¾ÈÁ¤ÀûÀÌ°í Á¤È®ÇÑ ½Äº° ¼º´ÉÀ» º¸ÀåÇÑ´Ù; 3) µ¿ÀÏ »ýü Ư¡ÀÇ ¹Ýº¹Àû »ç¿ëÀ» ÅëÇÑ ´Ù¼ö°á ÅõÇ¥Àü·«À» ÃëÇÔÀ¸·Î½á ½Ã½ºÅÛÀÇ ½Å·Úµµ¸¦ º¸ÀåÇÑ´Ù; 4) Á¡ÁõÀû °»½ÅÀÇ ÇнÀ ´É·ÂÀ¸·Î ÀÎÇÏ¿© ¹üÁË ¿ëÀÇÀÚ °¨½Ã¸ñ·Ï µ¥ÀÌÅͺ£À̽ºÀÇ º¯È¿¡µµ ´Éµ¿ÀûÀ¸·Î ÀûÀÀÇÑ´Ù. ½ÇÁ¦ KUFD(Korea University Face Database)¸¦ ÀÚü Á¦ÀÛÇÏ°í Ä·ÆÛ½º ³»¿¡¼ CCTV ȯ°æÀÇ ¹üÁË ¿ëÀÇÀÚ ¾ó±¼ ŽÁö ¹× ½Äº° ½Ã½ºÅÛ È¯°æÀ» ¸ðÀÇ ±¸ÃàÇÏ¿© ½ÇÇèÀûÀ¸·Î Á¦¾ÈµÈ ÇÁ·ÎÅäŸÀÔ ½Ã½ºÅÛÀÇ ¼º´ÉÀ» °ËÁõÇÑ´Ù.
¿µ¹®³»¿ë
(English Abstract)
In this paper, we propose a suspected criminal face identification on the watch list for video surveillance system via SVDD and SRC. Especially, the proposed criminal identification module is designed in a hierarchical manner via a mixture of support vector data description (SVDD) and sparse representation classifier (SRC). It has the following characteristics (system design requirements): 1) Since SVDD quickly recognizes only criminal suspects, it does not perform the unnecessary operation for the ordinary person; 2) Even in an inhibitory environment against face identification, it ensures a reliable and accurate identification performance via SRC that has been already proven as an excellent robust methodology for a face recognition; 3) Taking majority voting strategy with the repeated use of the same biological characteristics ensures the reliability of the system performance; 4) With the intrinsic incremental learning capability of SRC, this system can actively adapts itself according to the change of a watch list database. We carried out a feasibility experiment on the proposed prototype system with our KUFD (Korea University Face Database) collected from real experiments on Campus.
Å°¿öµå(Keyword)
¹üÁËÀÚ °¨½Ã¸ñ·Ï
¾ó±¼ ½Äº°
¼º£ÀÏ·±½º ½Ã½ºÅÛ
SRC
SVDD
Watch List
Face Identification
Surveillance System
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