Çѱ¹°ø°£Á¤º¸ ÇÐȸÁö
Current Result Document :
ÇѱÛÁ¦¸ñ(Korean Title) |
µµ·Î »óȲÀνÄÀ» À§ÇÑ ¹è°æ ¹× ·ÎÄÃÈ÷½ºÅä±×·¥ ±â¹Ý °´Ã¼ ÃßÀû ±â¹ý |
¿µ¹®Á¦¸ñ(English Title) |
Background and Local Histogram-Based Object Tracking Approach |
ÀúÀÚ(Author) |
±è¿µÈ¯
¹Ú¼ø¿µ
¿ÀÀÏȯ
ÃÖ°æÈ£
Young Hwan Kim
Soon Young Park
Il Whan Oh
Kyoung Ho Choi
|
¿ø¹®¼ö·Ïó(Citation) |
VOL 21 NO. 03 PP. 0011 ~ 0019 (2013. 06) |
Çѱ۳»¿ë (Korean Abstract) |
µµ·Î¿¡¼ ¹ß»ýµÇ´Â Â÷·®°£ Ãæµ¹»ç°í, ±³Åë ¼ÒÅë »óȲ, º¸ÇàÀÚ »ç°í µî ´Ù¾çÇÑ µµ·Î »óȲÀ» ¸ð´ÏÅ͸µ ¹× ÀÚµ¿À¸·Î ÀνÄÇÏ¿© ±³ÅëÁ¤º¸¸¦ Á¦°øÇϰųª ±ä±Þ±¸³ ¼ºñ½º¸¦ Á¦°øÇϱâ À§ÇÑ ´Ù¾çÇÑ ±â¼úÀÌ °³¹ßµÇ°í ÀÖ´Ù. µµ·Î ¸ð´ÏÅ͸µÀ» ÅëÇÑ ´Ù¾çÇÑ °´Ã¼ ÃßÀû ¹× »óȲÀνÄÀ» À§Çؼ´Â ÀâÀ½ ¹× °ãħ µî¿¡ °ÀÎÇÑ °´Ã¼ ÃßÀû ±â¼úÀÌ ¿ä±¸µÈ´Ù. º» ³í¹®¿¡¼´Â ¿ÜºÎ ȯ°æ¿¡¼ Background Subtraction, LK-Optical Flow, Áö¿ª ±â¹Ý È÷½ºÅä±×·¥ Ư¡ÀÇ °áÇÕÀ» ÅëÇØ ÃßÀûÀ» À§ÇÑ ¸î °¡Áö ÃßÁ¤ ÀÎÀÚ¸¦ »ý¼ºÇÏ°í À̸¦ ÅëÇØ º¯È°¡ ÀÖ´Â °´Ã¼, ÀâÀ½¿¡µµ ºñ±³Àû °ÀÎÇÑ ÃßÀû ¹æ¹ýÀ» Á¦¾ÈÇÑ´Ù. ±¸Ã¼ÀûÀ¸·Î´Â °´Ã¼ÀÇ Ãʱ⠿òÁ÷ÀÓ Á¤º¸¸¦ °ËÃâÇϱâ À§ÇØ ¿ÉƼÄà Ç÷ο츦 Àû¿ëÇÏ¿© Ä÷¯ Á¤º¸ ¹× ¹à±â º¯È¿¡ ¹«°üÇÑ À̵¿ Á¤º¸¸¦ ÃøÁ¤ÇÑ´Ù. ÃøÁ¤µÈ Á¤º¸¸¦ ±â¹ÝÀ¸·Î ÇÏ¿© Áö¿ª È÷½ºÅä±×·¥ ±â¹Ý °ËÁõÀ» ÅëÇØ ½Å·Úµµ¸¦ ÆÇ´ÜÇÑ´Ù. ½Å·Úµµ°¡ ³·À» °æ¿ì ¹è°æ Á¦°Å Á¤º¸¿Í Áö¿ª È÷½ºÅä±×·¥ Æ®·¡Ä¿ÀÇ Á¤º¸¸¦ È¥ÇÕÇÏ¿© »õ·Î¿î À§Ä¡¸¦ ÃßÁ¤ÇÑ´Ù. ½ÇÇèÀ» ÅëÇØ Á¦¾ÈµÈ ±â¹ýÀÌ °´Ã¼¸¦ ÃßÀûÇÏ°í ÀÖ´Â µµÁß ³ªÅ¸³¯ ¼ö ÀÖ´Â Ãæµ¹, »õ·Î¿î Ư¡ÀÇ µîÀå, Å©±â º¯È »óȲ¿¡ °ÀÎÇÏ°Ô µ¿ÀÛÇÔÀ» Á¦½ÃÇÑ´Ù.
|
¿µ¹®³»¿ë (English Abstract) |
Compared w ith traditional video monitoring systems that provide a video-recording
function as a main service, an intelligent video monitoring system is capable of extracting/tracking objects and detecting events such as car accidents, traffic congestion, pedestrian detection, and so on. Thus, the object tracking is an essential function for various intelligent video monitoring and surveillance systems. In this paper, we propose a background and local histogram-based object tracking approach for intelligent video monitoring systems. For robust object tracking in a live situation, the result of optical flow and local histogram verification are combined with the result of background subtraction. In the proposed approach, local histogram verification allows the system to track target objects more reliably when the local histogram of LK position is not similar to the previous histogram. Experimental results are provided to show the proposed tracking algorithm is robust in object occlusion and scale change situation.
|
Å°¿öµå(Keyword) |
ºñµð¿À °¨½Ã
°´Ã¼ ÃßÃâ
µµ·Î ¸ð´ÏÅ͸µ
ÀûÀÀÇü °´Ã¼ ÃßÀû
Video Surveillance
Object Tracking
Road Monitoring
Object Tracking
|
ÆÄÀÏ÷ºÎ |
PDF ´Ù¿î·Îµå
|