Çѱ¹Á¤º¸Åë½ÅÇÐȸ ³í¹®Áö (Journal of the Korea Institute of Information and Communication Engineering)
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ÇѱÛÁ¦¸ñ(Korean Title) |
´Ü¼ø ÀÓ°èÄ¡¿Í Àº´Ð¸¶¸£ÄÚÇÁ ¸ðµ¨À» È¥ÇÕÇÑ ¿µ»ó ±â¹Ý ³«»ó ¾Ë°í¸®Áò |
¿µ¹®Á¦¸ñ(English Title) |
Video-based fall detection algorithm combining simple threshold method and Hidden Markov Model |
ÀúÀÚ(Author) |
¹Úöȣ
À¯À±¼·
Culho Park
Yun Seop Yu
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¿ø¹®¼ö·Ïó(Citation) |
VOL 18 NO. 09 PP. 2101 ~ 2108 (2014. 09) |
Çѱ۳»¿ë (Korean Abstract) |
¿µ»ó Á¤º¸¸¦ ÀÌ¿ëÇÑ ÀÚµ¿ ³«»ó °¨Áö ¾Ë°í¸®ÁòÀ» Á¦¾ÈÇÑ´Ù. ÀÚµ¿À¸·Î ³«»óÀ» °¨ÁöÇϱâ À§ÇÑ ³«»ó Ư¡ ÆĶó¹ÌÅ͸¦ ÃßÃâÇϱâ À§Çؼ ¿µ»óÁ¤º¸¸¦ ±¤·ù ¹æ½Ä¿¡ Àû¿ëÇÏ¿© ¿òÁ÷ÀÓ °ªµéÀ» ÃßÃâÇÏ°í ÀÌ ¿òÁ÷ÀÓ °ªµé¿¡ ´ëÇÑ ÀüüÀûÀÎ º¯ÈÀÇ Á¤µµ¿Í ±â¿ï±â, Áß½ÉÁ¡À» ÁÖ¼ººÐ ºÐ¼® ¹æ¹ýÀ¸·Î °è»êÇÑ´Ù. °è»êµÈ °íÀ¯°ª°ú °íÀ¯ º¤Å͸¦ »ç¿ëÇÏ¿© 6°¡Áö ³«»ó Ư¡ÆĶó¹ÌÅ͸¦ Á¤ÀÇÇÑ´Ù. ÀÌ ³«»óƯ¡ÆĶó¹ÌÅÍ°¡ ¹Ì¸® Á¤ÇصРÀÓ°è°ªÀ» ÃÊ°úÇÏ´Â °æ¿ì¸¦ ³«»óÀ¸·Î ÆÇ´ÜÇÏ´Â ´Ü¼ø ÀÓ°èÄ¡ ¹æ¹ý°ú ³«»óƯ¡ÆĶó¹ÌÅ͸¦ Àº´Ð ¸¶¸£ÄÚÇÁ ¸ðµ¨(Hidden Markov Model; HMM)¿¡ Àû¿ë½ÃÄÑ ³«»óÀ» ÆÇ´ÜÇÏ´Â ¹æ¹ý°ú ´Ü¼øÀÓ°èÄ¡¿Í Àº´Ð ¸¶¸£ÄÚÇÁ ¸ðµ¨À» °áÇÕÇÑ ³«»ó °¨Áö ¹æ¹ýÀ» Á¦¾ÈÇÏ°í ±× °á°ú¸¦ ºñ±³ ¹× ºÐ¼®ÇÑ´Ù. ´Ü¼ø ÀÓ°èÄ¡¿Í Àº´Ð ¸¶¸£ÄÚÇÁ ¸ðµ¨À» °áÇÕÇÑ ¹æ¹ýÀº ´Ü¼øÀÓ°èÄ¡ ¹æ¹ýÀ¸·Î ³«»ó °¡´ÉÇÑ ÇൿµéÀ» °áÁ¤ÇÏ°í ÀÌ °áÁ¤µÈ ³«»ó Çൿµé¸¸À» Àº´Ð ¸¶¸£ÄÚÇÁ ¸ðµ¨À» Àû¿ëÇÏ¿© ³«»óÀ» °¨ÁöÇÑ´Ù. ÀÌ ¹æ¹ýÀº °è»ê·®À» ÁÙÀÌ¸é¼ °¨Áö Á¤È®µµ¸¦ À¯ÁöÇÏ´Â °á°ú¸¦ º¸ÀδÙ.
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¿µ¹®³»¿ë (English Abstract) |
Automatic fall-detection algorithms using video-data are proposed. Six types of fall-feature parameters are defined applying the optical flows extracted from differential images to principal component analysis(PCA). One fall-detection algorithm is the simple threshold method that a fall is detected when a fall-feature parameter is over a threshold, another is to use the HMM, and the other is to combine the simple threshold and HMM. Comparing the performances of three types of fall-detection algorithm, the algorithm combining the simple threshold and HMM requires less computational resources than HMM and exhibits a higher accuracy than the simple threshold method.
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Å°¿öµå(Keyword) |
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ÁÖ¼ººÐ ºÐ¼®
Àº´Ð ¸¶¸£ÄÚÇÁ ¸ðµ¨
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fall detection
optical flow
principal component analysis(PCA)
Hidden Markov Model(HMM)
fall-feature parameters
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ÆÄÀÏ÷ºÎ |
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