{"id":25318,"date":"2025-04-24T16:50:45","date_gmt":"2025-04-24T07:50:45","guid":{"rendered":"https:\/\/www.waseda.jp\/library\/?p=25318"},"modified":"2025-04-25T09:00:04","modified_gmt":"2025-04-25T00:00:04","slug":"%e7%9f%b3%e5%8e%9f%e6%b5%a9%e4%ba%8c-%e6%95%99%e6%8e%88%ef%bc%88%e7%90%86%e5%b7%a5%e5%ad%a6%e8%a1%93%e9%99%a2%e9%80%80%e8%81%b7%e6%95%99%e5%93%a1%e5%af%84%e8%b4%88%e6%9c%ac%e6%96%87%e5%ba%ab-4","status":"publish","type":"post","link":"https:\/\/www.waseda.jp\/library\/news\/2025\/04\/24\/25318\/","title":{"rendered":"\u5927\u8c37\u6df3 \u6559\u6388\uff08\u7406\u5de5\u5b66\u8853\u9662\u9000\u8077\u6559\u54e1\u5bc4\u8d08\u672c\u6587\u5eab\uff09"},"content":{"rendered":"

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\n\u5927\u8c37\u3000\u6df3\u3000\u6559\u6388<\/strong><\/strong><\/p>\n

\u3010\u3054\u5bc4\u8d08\u56f3\u66f8\u3011<\/strong>
\nAnalyzing Video Sequences of Multiple Humans: Tracking, Posture Estimation and Behavior Recognition
\nKluwer Academic Publishers 2002<\/p>\n

\u3010\u5927\u8c37\u6df3\u5148\u751f\u304b\u3089\u3044\u305f\u3060\u3044\u305f\u3054\u5bc4\u8d08\u56f3\u66f8\u306b\u307e\u3064\u308f\u308b\u6587\u7ae0\u3011<\/strong>
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\n\u2460\u8907\u6570\u30ab\u30e1\u30e9\u306b\u3088\u308a\u64ae\u50cf\u3055\u308c\u305f\u8907\u6570\u306e\u52d5\u753b\u50cf\u3092\u7528\u3044\u308b\u8907\u6570\u4eba\u7269\u306e\u8ffd\u8de1\u6cd5
\n\u2461\u4eba\u7269\u306e\u8868\u60c5\u3068\u5168\u8eab\u50cf\u306e\u59ff\u52e2\u3092\u5b9f\u6642\u9593\u3067\u63a8\u5b9a\u3057\u3001\uff13\u6b21\u5143\u4eba\u7269\u30e2\u30c7\u30eb\uff08\u30a2\u30f4\u30a1\u30bf\u30fc\uff09\u3092\u7528\u3044\u3066\u63a8\u5b9a\u3055\u308c\u305f\u8868\u60c5\u3068\u59ff\u52e2\u3092\u518d\u73fe\u3059\u308b\u65b9\u6cd5
\n\u2462\u96a0\u308c\u30de\u30eb\u30b3\u30d5\u30e2\u30c7\u30eb\uff08HMM: Hidden Markov Model\uff09\u3092\u7528\u3044\u3066\u4eba\u7269\u306e\u884c\u52d5\u3092\u8a8d\u8b58\u3059\u308b\u65b9\u6cd5<\/p>\n

\u2461\u306e\u6280\u8853\u306f\u3001\u300c\u8ab0\u3082\u304c\u6b4c\u821e\u4f0e\u5f79\u8005\u306b\u4eee\u60f3\u7684\u306b\u5909\u8eab\u3067\u304d\u308b\u300d\u3053\u3068\u3092\u30b3\u30f3\u30bb\u30d7\u30c8\u3068\u3059\u308b\u300c\u30d0\u30fc\u30c1\u30e3\u30eb\u6b4c\u821e\u4f0e\u30b7\u30b9\u30c6\u30e0\u300d\u306b\u7528\u3044\u3089\u308c\u307e\u3057\u305f\u3002\u5b9f\u7a7a\u9593\u306b\u3044\u308b\u4eba\u7269\u306e\u8868\u60c5\u3068\u5168\u8eab\u306e\u59ff\u52e2\u3092\u5b9f\u6642\u9593\u3067\u63a8\u5b9a\u3057\u3001\u4eee\u60f3\u7a7a\u9593\u306b\u304a\u3051\u308b\u6b4c\u821e\u4f0e\u5f79\u8005\u306e\u30a2\u30f4\u30a1\u30bf\u30fc\u3092\u7528\u3044\u3066\u518d\u73fe\u3057\u307e\u3059\u3002\u30b3\u30f3\u30d4\u30e5\u30fc\u30bf\u30b0\u30e9\u30d5\u30a3\u30c3\u30af\u30b9\u306e\u5206\u91ce\u306b\u304a\u3051\u308b\u4e16\u754c\u6700\u5927\u306e\u56fd\u969b\u4f1a\u8b70SIGGRAPH\u3067\u30c7\u30e2\u5c55\u793a\u3092\u884c\u3063\u305f\u3068\u3053\u308d\u3001New York Times\u306b\u8a18\u4e8b\u3068\u3057\u3066\u7d39\u4ecb\u3055\u308c\u308b\u7b49\u3001\u5927\u5909\u6ce8\u76ee\u3055\u308c\u307e\u3057\u305f\u3002
\n\u2462\u306e\u6280\u8853\u306f\u3001\u52d5\u753b\u50cf\u8a8d\u8b58\u306e\u5206\u91ce\u306b\u304a\u3044\u3066HMM\u3092\u521d\u3081\u3066\u9069\u7528\u3057\u3001\u52d5\u753b\u50cf\u4e2d\u306e\u30c6\u30cb\u30b9\u306b\u304a\u3051\u308b\uff16\u7a2e\u985e\u306e\u52d5\u4f5c\u3092\u8a8d\u8b58\u5bfe\u8c61\u3068\u3057\u3066\u6709\u52b9\u6027\u3092\u691c\u8a3c\u3057\u307e\u3057\u305f\u3002\u305d\u308c\u307e\u3067\u3001\u52d5\u753b\u50cf\u8a8d\u8b58\u6280\u8853\u306b\u306f\u6709\u52b9\u306a\u624b\u6cd5\u304c\u307b\u3068\u3093\u3069\u7121\u304b\u3063\u305f\u305f\u3081\u3001\u2462\u306e\u6280\u8853\u306f\u4e16\u754c\u306etop level\u306e\u56fd\u969b\u4f1a\u8b70IEEE Conference on CVPR (Computer Vision and Pattern Recognition)\u306b\u63a1\u9332\u3055\u308c\u3001\u73fe\u5728\u307e\u3067\u306b\u7d042000\u4ef6\u306e\u8ad6\u6587\u3067\u53c2\u7167\u3055\u308c\u307e\u3057\u305f\u3002
\n\u3053\u306e\u672c\u3067\u8ff0\u3079\u305f\u2460\u304b\u3089\u2462\u306e\u6280\u8853\u306f\u6df1\u5c64\u5b66\u7fd2\u304c\u767b\u5834\u3059\u308b\u4ee5\u524d\u306e\u6280\u8853\u3067\u3059\u3002\u305f\u3060\u3001\u753b\u50cf\u51e6\u7406\u306e\u5206\u91ce\u306e\u9032\u5c55\u3092\u652f\u3048\u305f\u91cd\u8981\u306a\u6280\u8853\u306b\u4f4d\u7f6e\u4ed8\u3051\u3089\u308c\u308b\u3068\u78ba\u4fe1\u3059\u308b\u6b21\u7b2c\u3067\u3059\u3002<\/p>\n

\u3010\u30d7\u30ed\u30d5\u30a3\u30fc\u30eb\u3011<\/strong>
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\n1977.3 \u6771\u4eac\u5927\u5b66\u5de5\u5b66\u90e8\u7cbe\u5bc6\u6a5f\u68b0\u5de5\u5b66\u79d1\u5352\u696d
\n1979.3 \u540c\u5927\u5b66\u5927\u5b66\u9662\u5de5\u5b66\u7cfb\u7814\u7a76\u79d1\u7cbe\u5bc6\u6a5f\u68b0\u5de5\u5b66\u5c02\u9580\u8ab2\u7a0b\u4fee\u58eb\u8ab2\u7a0b\u4fee\u4e86
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\n1988.11\uff5e1989.11 \uff2e\uff34\uff34\u304b\u3089\u6d77\u5916\u7814\u4fee\u306e\u6a5f\u4f1a\u3092\u4e0e\u3048\u3089\u308c\u3001\u7c73\u56fd\u30fb\u30e1\u30ea\u30fc\u30e9\u30f3\u30c9\u5927\u5b66\uff08Univ. of Maryland\uff09\u3001\u30b3\u30f3\u30d4\u30e5\u30fc\u30bf\u30d3\u30b8\u30e7\u30f3\u7814\u7a76\u6240\u3001\u5ba2\u54e1\u7814\u7a76\u54e1
\n1992.2 ATR\uff08\uff08\u682a\uff09\u56fd\u969b\u96fb\u6c17\u901a\u4fe1\u57fa\u790e\u6280\u8853\u7814\u7a76\u6240\uff09\u901a\u4fe1\u30b7\u30b9\u30c6\u30e0\u7814\u7a76\u6240\u3078\u51fa\u5411\u3002\u77e5\u80fd\u51e6\u7406\u7814\u7a76\u5ba4\u30fb\u4e3b\u5e79\u7814\u7a76\u54e1\u3002
\n1996.4 ATR\u77e5\u80fd\u6620\u50cf\u901a\u4fe1\u7814\u7a76\u6240\u30fb\u7b2c\u4e00\u7814\u7a76\u5ba4\u9577
\n2000.4 \u65e9\u7a32\u7530\u5927\u5b66\u56fd\u969b\u60c5\u5831\u901a\u4fe1\u7814\u7a76\u79d1\u30fb\u6559\u6388
\n2005.7\uff5e2005.9 \u30c9\u30a4\u30c4\u30fb\u30ab\u30fc\u30eb\u30b9\u30eb\u30fc\u30a8\u5927\u5b66 \uff08Univ. of Karlsruhe\uff09\u62db\u8058\u6559\u6388
\n2014.4\uff5e2025.3 \u65e9\u7a32\u7530\u5927\u5b66\u5275\u9020\u7406\u5de5\u5b66\u90e8\u7dcf\u5408\u6a5f\u68b0\u5de5\u5b66\u79d1\u30fb\u6559\u6388
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\u3010\u4e3b\u306a\u7814\u7a76\u6b74\u3011<\/strong>
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\n\u30fb\u5de5\u5b66\u3068\u82b8\u8853\u306e\u878d\u5408<\/p>\n","protected":false},"excerpt":{"rendered":"

\u5927\u8c37\u3000\u6df3\u3000\u6559\u6388 \u3010\u3054\u5bc4\u8d08\u56f3\u66f8\u3011 Analyzing Video Sequences of Multiple Humans: Tracking, Posture Estimation and Behavior Recogn […]<\/p>\n","protected":false},"author":11,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[],"tags":[],"class_list":["post-25318","post","type-post","status-publish","format-standard","hentry"],"acf":[],"_links":{"self":[{"href":"https:\/\/www.waseda.jp\/library\/wp-json\/wp\/v2\/posts\/25318","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.waseda.jp\/library\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.waseda.jp\/library\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.waseda.jp\/library\/wp-json\/wp\/v2\/users\/11"}],"replies":[{"embeddable":true,"href":"https:\/\/www.waseda.jp\/library\/wp-json\/wp\/v2\/comments?post=25318"}],"version-history":[{"count":1,"href":"https:\/\/www.waseda.jp\/library\/wp-json\/wp\/v2\/posts\/25318\/revisions"}],"predecessor-version":[{"id":25373,"href":"https:\/\/www.waseda.jp\/library\/wp-json\/wp\/v2\/posts\/25318\/revisions\/25373"}],"wp:attachment":[{"href":"https:\/\/www.waseda.jp\/library\/wp-json\/wp\/v2\/media?parent=25318"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.waseda.jp\/library\/wp-json\/wp\/v2\/categories?post=25318"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.waseda.jp\/library\/wp-json\/wp\/v2\/tags?post=25318"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}