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Ȩ Ȩ > ¿¬±¸¹®Çå > ±¹³» ³í¹®Áö > Çѱ¹Á¤º¸Åë½ÅÇÐȸ ³í¹®Áö (Journal of the Korea Institute of Information and Communication Engineering)

Çѱ¹Á¤º¸Åë½ÅÇÐȸ ³í¹®Áö (Journal of the Korea Institute of Information and Communication Engineering)

Current Result Document :

ÇѱÛÁ¦¸ñ(Korean Title) Ä÷¯ Ŭ·¯½ºÅ͸µ ±â¹ýÀ» ÀÌ¿ëÇÑ °ø°£Áö´ÉÈ­ÀÇ ´ÙÁßÀ̵¿¹°Ã¼ ÃßÀû ±â¹ý
¿µ¹®Á¦¸ñ(English Title) A Study on Multi-Object Tracking Method using Color Clustering in ISpace
ÀúÀÚ(Author) Áøż®   ±èÇö´ö   Tae-seok Jin   Hyun-deok Kim  
¿ø¹®¼ö·Ïó(Citation) VOL 11 NO. 11 PP. 2179 ~ 2184 (2007. 11)
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(Korean Abstract)
º» ³í¹®¿¡¼­´Â Àΰ£°ú ȯ°æ»çÀÌÀÇ ¹°¸®Àû ¶Ç´Â ½É¸®Àû ÀÎÅÍ ¾×¼ÇÀ» ÅëÇÑ Àΰ£Áß½ÉÀÇ ÀûÀýÇÑ ¼­ºñ½º¸¦ Á¦°øÇÏ´Â °ø°£Áö´ÉÈ­(iSpace: Intelligent Space) ±¸ÇöÇÏ°íÀÚ ³×Æ®¿÷ ¼¾¼­ Àνİø°£À» ¼Ò°³ÇÏ°í ÀÖ´Ù. ¿µ»ó µ¥ÀÌÅÍ Ã³¸® ¹× Á¤º¸ ³×Æ®¿÷ ±â´ÉÀ» °®´Â ´Ù¼öÀÇ Ä÷¯ CCD Ä«¸Þ¶ó¸¦ iSpace °ø°£¿¡ ºÐ»ê ¹èÄ¡ÇÏ¿´´Ù. iSpace³» ÀÇ Á¤º¸È¹µæÀ» À§ÇÑ ³×Æ®¿÷ ¼¾¼­¸¦ ºÐ»ê Áö´ÉÇü ³×Æ®¿÷ µð¹ÙÀ̽º(DIND: Distributed Intelligent Network Devices)¶ó°í ¸í¸íÇÏ°í ÀÖÀ¸¸ç, °¢ DIND´Â ÀÏÁ¾ÀÇ Å¬¶óÀ̾ðÆ® ¿ªÇÒÀ» ¼öÇàÇϵµ·Ï ÇÏ¿´À¸¸ç£¬DIND´Â Ä«¸Þ¶ó ¼¾¼­¸¦ ÀÌ¿ëÇÏ´Â À̸¥¹Ù Ä«¸Þ¶ó ³×Æ®¿öÅ©¸¦ ±¸¼ºÇÑ °ÍÀ¸·Î À̸¦ ÅëÇØ ½Ç³» ȯ°æÀ» ÀνÄÇÏ°í ¸ðµ¨¸µ ÇÏ¸ç °ø°£ ³» °ÅÁÖÀÚÀÇ Àǵµ¸¦ ÀνÄÇϱâ À§ÇÑ ½Ã½ºÅÛÀ» ±¸ÃàÇÏ¿´´Ù.
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(English Abstract)
The Intelligent Space(ISpace) provides challenging research fields for surveillance, human-computer interfacing, networked camera conferencing, industrial monitoring or service and training applications. ISpace is the space where many intelligent devices, such as computers and sensors, are distributed. According to the cooperation of many intelligent devices, the environment, it is very important that the system knows the location information to offer the useful services. In order to achieve these goals, we present a method for representing, tracking and human following by fusing distributed multiple vision systems in ISpace, with application to pedestrian tracking in a crowd. This paper describes appearance based unknown object tracking with the distributed vision system in intelligent space. First, we discuss how object color information is obtained aid how the color appearance based model is constructed from this data. Then, we discuss the global color model based on the local color information. The process of learning within global model and the experimental results are also presented.
Å°¿öµå(Keyword) °ø°£Áö ´ÉÈ­ (Intelligent Space)   À̵¿·Îº¿ (mobile robot)   ÁßÀ̵¿¹°Ã¼ÃßÀû (multi-object tracking)   Ä«¸Þ¶ó(CCD camera)  
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