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ÇѱÛÁ¦¸ñ(Korean Title) |
Ä«¸Þ¶ó À̵¿È¯°æ¿¡¼ mean shift¿Í ±íÀÌ Áöµµ¸¦ °áÇÕÇÑ ´Ù¼ö ÀÎü ÃßÀû |
¿µ¹®Á¦¸ñ(English Title) |
Multiple Human Tracking using Mean Shift and Depth Map with a Moving Stereo Camera |
ÀúÀÚ(Author) |
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¿ø¹®¼ö·Ïó(Citation) |
VOL 34 NO. 10 PP. 0937 ~ 0944 (2007. 10) |
Çѱ۳»¿ë (Korean Abstract) |
º» ³í¹®Àº ½ºÅ×·¹¿À Ä«¸Þ¶ó¸¦ ÀÌ¿ëÇÑ À̵¿ Ä«¸Þ¶ó ȯ°æ¿¡¼Mean Shift¿Í ±íÀÌÁöµµ¸¦ °áÇÕÇÏ¿© ´Ù¼öÀÇ »ç¶÷À» ´Ù¾çÇÑ ÀÚ¼¼, Å©±â, Á¶¸íº¯È¿¡ °ÀÎÇÑ ÃßÀûÀ» ÇÏ´Â ¹æ¹ýÀ» Á¦¾ÈÇÑ´Ù. Mean Shift ÃßÀû ¾Ë°í¸®ÁòÀº ºü¸£°í ¾ÈÁ¤ÀûÀÎ ¼º´ÉÀ¸·Î ½Ç½Ã°£ ÃßÀû¿¡ ÀûÇÕÇÏ´Ù. ±×·¯³ª °´Ã¼ÀÇ Ä®¶ó Á¤º¸¸¸À¸·Î´Â ¹è°æ°ú Ä®¶ó ºÐÆ÷°¡ À¯»çÇÑ °´Ã¼ÀÇ °æ¿ì ÃßÀû¿¡ ½ÇÆÐÇÒ ¼ö ÀÖ´Â ´ÜÁ¡À» º¸¿ÏÇϱâ À§ÇÏ¿© ±íÀÌ Á¤º¸¸¦ °áÇÕÇÏ´Â ¹æ¹ýÀ» Á¦¾ÈÇÑ´Ù. ¶ÇÇÑ °´Ã¼°¡ À̵¿ÇÏ¸é¼ ¹ß»ýÇÏ´Â °¡·ÁÁü ¹®Á¦¸¦ ÇØ°áÇϱâ À§ÇÏ¿© °ËÃâµÈ »ç¶÷ ¿µ¿ªÀ» ¸Ó¸®, ¸öÅë, ´Ù¸®·Î ³ª´©¾î ½Åü ºÎÀ§º° ¸ðµ¨¸µÀ» ÇÏ¿´°í ¹Ú½º Å©±â°¡ °´Ã¼ÀÇ Å©±âº¯È¿¡ µû¶ó ÀûÀÀÀûÀ¸·Î º¯Çϵµ·Ï ÇÏ¿´´Ù. º» ³í¹®¿¡¼ Á¦¾ÈÇÏ´Â ¾Ë°í¸®ÁòÀº ´Ù¾çÇÑ µ¥ÀÌŸ¿¡ ´ëÇؼ ½ÇÇèÇÑ °á°ú Á¤È®ÇÑ °ËÃâ°ú ÃßÀû¿¡ ¿ì¼öÇÑ ¼º´ÉÀ» È®ÀÎ ÇÒ ¼ö ÀÖ¾ú´Ù.
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¿µ¹®³»¿ë (English Abstract) |
In this paper, we propose multiple human tracking with an moving stereo camera. The tracking process is based on mean shift algorithm which is using color information of the target.Color based tracking approach is invariant to translation and rotation of the target but, it has several problems. Because of mean shift uses color distribution, it is sensitive to color distribution of background and targets. In order to solve this problem, we combine color and depth information of target. Also, we build human body part model to handle occlusions and we have created adaptive box scale. As a result, the proposed method is simple and efficient to track multiple humans in real time. |
Å°¿öµå(Keyword) |
½ºÅ×·¹¿À Ä«¸Þ¶ó
À̵¿ Ä«¸Þ¶ó ȯ°æ
´Ù¼ö »ç¶÷ ÃßÀû
mean shift ÃßÀû ¾Ë°í¸®Áò
±íÀÌ Á¤º¸
active stereo camera
multiple human tracking
mean shift tracking algorithm
depth map
human body part model
real time
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