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Current Result Document :
ÇѱÛÁ¦¸ñ(Korean Title) |
Ã౸ ºñµð¿À¿¡¼ ¾ó±¼ ÀÎ½Ä ±â¹ÝÀÇ ¼±¼ö ½Äº° |
¿µ¹®Á¦¸ñ(English Title) |
Face Recognition based Player Identification in Soccer Videos |
ÀúÀÚ(Author) |
Á¤È£¼®
ÀÌÁ¾¿í
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Hoseok Jung
Jonguk Lee
Hansung Lee
Yongwha Chung
Daihee Park
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¿ø¹®¼ö·Ïó(Citation) |
VOL 38 NO. 11 PP. 0626 ~ 0632 (2011. 11) |
Çѱ۳»¿ë (Korean Abstract) |
¾ó±¼ ÀÎ½Ä ¼º´ÉÀ» ÀúÇØÇϴ ȯ°æÀ¸·Î ÀÎÇÑ Ã౸ ºñµð¿À¿¡¼ÀÇ ³·Àº ¼±¼ö Àνķü°ú Á¦ÇÑµÈ ÇØ°ø°£ÀÇ ¹®Á¦Á¡À» ÇØ°áÇÏ´Â Â÷¿ø¿¡¼ º» ³í¹®¿¡¼´Â ´ÙÀ½°ú °°Àº Ư¡À» °®´Â ¾ó±¼ ÀÎ½Ä ±â¹ÝÀÇ Ã౸ ¼±¼ö ½Äº° ¹æ¹ý·ÐÀ» Á¦¾ÈÇÑ´Ù: 1) Á¶¸í º¯È¿¡ ¹Î°¨ÇÏÁö ¾ÊÀº ¾ó±¼ Ç¥Çö ¹æ¹ýÀÎ ULBP¸¦ »ç¿ëÇÏ¿© ¾ó±¼ ÀÎ½Ä ¼º´ÉÀ» Çâ»ó½ÃŲ´Ù; 2)_ ¾ó±¼ ÀÎ½Ä ¼º´ÉÀ» ÀúÇØÇÏ´Â ´Ù¾çÇÑ È¯°æ¿¡¼µµ ÀÌ¹Ì °ÀÎÇÑ ¼º´ÉÀÌ °ËÁõµÈ SRC¸¦ ¼±¼ö ½Äº° °úÁ¤¿¡ Àû¿ëÇÔÀ¸·Î½á ¾ÈÁ¤ÀûÀÌ°í ³ôÀº ¼±¼ö ½Äº° ¼º´ÉÀ» º¸ÀåÇÑ´Ù; 3) Ŭ·ÎÁî¾÷ ¼¦»Ó¸¸ ¾Æ´Ï¶ó ¹Ìµð¾ö ¼¦ÀÇ Á¤¸é, ÁØÁ¤¸é, Ãø¸é ¾ó±¼ À̹ÌÁö¸¦ ´ë»óÀ¸·Î ¼±¼ö ½Äº°ÀÇ ÇØ°ø°£À» È®ÀåÇÑ´Ù; 4) SRCÀÇ Á¡ÁõÀû °»½ÅÇнÀ ´É·ÂÀ¸·Î Ã౸ ¼±¼ö ¾ó±¼ µ¥ÀÌÅͺ£À̽ºÀÇ º¯È¿¡µµ ´Éµ¿ÀûÀ¸·Î ÀûÀÀÇÑ´Ù. ½ÇÁ¦ 2010³â ³²¾ÆÇÁ¸®Ä« °øȱ¹ ¿ùµåÄÅÀÇ ½ºÆäÀÎ °æ±â¸¦ ´ë»óÀ¸·Î Á¦¾ÈµÈ ¹æ¹ý·ÐÀÇ ¼º´ÉÀ» ½ÇÇèÀûÀ¸·Î °ËÁõÇÑ´Ù.
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¿µ¹®³»¿ë (English Abstract) |
In this paper, we propose a novel face recognition based player identification in soccer videos in order to circumvent the drawbacks of low face recognition performance due to the inhibitory environment of soccer videos and limited solution space of current methods. It has the following characteristics (system design requirements): 1) It enhances the face recognition performance by means of ULBP which is robust face representation method on illumination variance; 2) Even in an inhibitory environment against face identification in soccer videos, it ensures a reliable and accurate face identification performance via SRC that has been already proven as an excellent robust methodology for a face recognition; 3) It extends the solution space of player identification with the frontal, quasi-frontal, and profile face image of medium shots including close-up shots; 4) With the intrinsic incremental learning capability of SRC, it can actively adapt itself to the change of soccer player database. The experimental results with Spain games of South African World Cup in 2010 illustrate the efficiency of the proposed method.
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Å°¿öµå(Keyword) |
¼±¼ö ½Äº°
¾ó±¼ ÀνÄ
Player Identification
Face Recognition
ULBP
SRC
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ÆÄÀÏ÷ºÎ |
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