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Ȩ Ȩ > ¿¬±¸¹®Çå > Çмú´ëȸ ÇÁ·Î½Ãµù > Çѱ¹Á¤º¸Åë½ÅÇÐȸ Çмú´ëȸ > 2019³â Ãá°èÇмú´ëȸ

2019³â Ãá°èÇмú´ëȸ

Current Result Document : 5 / 29 ÀÌÀü°Ç ÀÌÀü°Ç   ´ÙÀ½°Ç ´ÙÀ½°Ç

ÇѱÛÁ¦¸ñ(Korean Title) Å©±â ºñ±³¸¦ ÅëÇÑ Â÷·® ½Äº°
¿µ¹®Á¦¸ñ(English Title) Car Identification Using Comparing Car Size
ÀúÀÚ(Author) ½Å±¤¼º   ½Å¼ºÀ±   Kwang-Seong Shin   Seong-Yoon Shin  
¿ø¹®¼ö·Ïó(Citation) VOL 23 NO. 01 PP. 0488 ~ 0489 (2019. 05)
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(Korean Abstract)
Â÷·®ÀÇ Æ¯Â¡Á¡µé »çÀÌÀÇ °£°Ý°ú ±× Å©±âÀÇ ºñ·ÊÀ²ÀÇ ½ÄÀ¸·Î ÀÚµ¿Â÷ÀÇ Â÷Á¾À» ½Äº°ÇÏ´Â ¹æ¹ýÀ» Á¦¾ÈÇÑ´Ù. ÀÚµ¿Â÷ ¿µ»óÀº ±âº» RGB¸ðµ¨¿¡¼­ Gray»ö»ó ¸ðµ¨·Î º¯È¯½ÃÄÑ »ç¿ëÇÑ´Ù. Canny Edge DirectionÀ» ¼öÇàÇÏ¿© ÀÚµ¿Â÷ÀÇ ¹è°æÀÌ µÇ´Â ¿µ»óÀ» Á¦°ÅÇÑ´Ù. À±°û¼± ÃßÃâÀ» ÅëÇÏ¿© ¿øÇϴ Ư¡ Á¡À» ¾ò´Â´Ù.
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(English Abstract)
We propose a method to identify vehicle type by the formula of distance between feature points of vehicle and proportional rate of size. Car images are converted from the basic RGB model to the gray color model. Perform Canny Edge Direction to remove the background image of the car. The desired feature points are obtained through contour extraction.
Å°¿öµå(Keyword) Vehicle Identification   distance   Rate of Size   Co  
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