{"_buckets": {"deposit": "332af3e4-0e9a-4269-8a46-7d0d5d2baa2c"}, "_deposit": {"id": "21689", "owners": [], "pid": {"revision_id": 0, "type": "depid", "value": "21689"}, "status": "published"}, "_oai": {"id": "oai:nagoya.repo.nii.ac.jp:00021689"}, "item_10_alternative_title_19": {"attribute_name": "\u305d\u306e\u4ed6\u306e\u8a00\u8a9e\u306e\u30bf\u30a4\u30c8\u30eb", "attribute_value_mlt": [{"subitem_alternative_title": "A study on General Obstacle Detection by Spatio-Temporal Subtraction with Past In-Vehicle Camera Image Sequence"}]}, "item_10_biblio_info_6": {"attribute_name": "\u66f8\u8a8c\u60c5\u5831", "attribute_value_mlt": [{"bibliographicIssueDates": {"bibliographicIssueDate": "2012-03", "bibliographicIssueDateType": "Issued"}, "bibliographicIssueNumber": "499", "bibliographicPageEnd": "152", "bibliographicPageStart": "147", "bibliographicVolumeNumber": "111", "bibliographic_titles": [{"bibliographic_title": "\u96fb\u5b50\u60c5\u5831\u901a\u4fe1\u5b66\u4f1a\u6280\u8853\u7814\u7a76\u5831\u544a. PRMU, \u30d1\u30bf\u30fc\u30f3\u8a8d\u8b58\u30fb\u30e1\u30c7\u30a3\u30a2\u7406\u89e3"}]}]}, "item_10_description_4": {"attribute_name": "\u6284\u9332", "attribute_value_mlt": [{"subitem_description": "\u672c\u7814\u7a76\u306e\u76ee\u7684\u306f,\u524d\u65b9\u3092\u5411\u3044\u305f\u8eca\u8f09\u30ab\u30e1\u30e9\u6620\u50cf\u304b\u3089\u524d\u65b9\u969c\u5bb3\u7269\u3092\u691c\u51fa\u3059\u308b\u3053\u3068\u3067\u3042\u308b.\u8eca\u8f09\u30ab\u30e1\u30e9\u6620\u50cf\u304b\u3089\u306e\u969c\u5bb3\u7269\u691c\u51fa\u306b\u95a2\u3059\u308b\u7814\u7a76\u306f\u5e83\u304f\u884c\u306a\u308f\u308c\u3066\u3044\u308b\u304c,\u591a\u304f\u306f\u8eca\u4e21\u3084\u4eba\u7269\u3068\u3044\u3063\u305f\u691c\u51fa\u5bfe\u8c61\u306e\u898b\u3048\u3092\u5b66\u7fd2\u3057\u3066\u691c\u51fa\u3092\u884c\u306a\u3046\u3082\u306e\u3067\u3042\u308a,\u4e8b\u524d\u306b\u5b66\u7fd2\u3057\u3066\u3044\u306a\u3044\u60f3\u5b9a\u5916\u306e\u969c\u5bb3\u7269\u3078\u306e\u5bfe\u5fdc\u306f\u3067\u304d\u306a\u3044.\u305d\u3053\u3067\u63d0\u6848\u624b\u6cd5\u3067\u306f,\u540c\u5730\u70b9\u306b\u304a\u3051\u308b\u904e\u53bb\u306e\u8eca\u8f09\u30ab\u30e1\u30e9\u6620\u50cf\u3068\u306e\u5dee\u5206\u3092\u7528\u3044\u3066\u524d\u65b9\u969c\u5bb3\u7269\u3092\u691c\u51fa\u3059\u308b.\u5dee\u5206\u3092\u7528\u3044\u308b\u3053\u3068\u306b\u3088\u308a,\u691c\u51fa\u5bfe\u8c61\u306e\u4e8b\u524d\u77e5\u8b58\u3092\u5fc5\u8981\u3068\u305b\u305a,\u6bb5\u30dc\u30fc\u30eb\u7bb1\u3084\u7a4d\u8377\u306e\u843d\u4e0b\u7269\u306a\u3069\u306e\u4e0d\u7279\u5b9a\u306e\u969c\u5bb3\u7269\u3092\u691c\u51fa\u3059\u308b\u3053\u3068\u304c\u53ef\u80fd\u306b\u306a\u308b,\u3057\u304b\u3057,\u904e\u53bb\u306e\u8d70\u884c\u6620\u50cf\u306f\u8d70\u884c\u4f4d\u7f6e\u306e\u9055\u3044\u306b\u3088\u308b\u8996\u70b9\u306e\u305a\u308c\u3092\u542b\u307f,\u76f4\u63a5\u7684\u306b\u5dee\u5206\u3092\u6c42\u3081\u308b\u3053\u3068\u306f\u56f0\u96e3\u3067\u3042\u308b.\u305d\u3053\u3067,\u307e\u305a\u65e2\u5b58\u624b\u6cd5\u306b\u3088\u308a\u73fe\u5728\u3068\u904e\u53bb\u306e\u6620\u50cf\u4e2d\u306e\u30d5\u30ec\u30fc\u30e0\u9593\u5bfe\u5fdc\u4ed8\u3051\u3092\u884c\u306a\u3046.\u305d\u3057\u3066,\u5bfe\u5fdc\u4ed8\u3044\u305f\u30d5\u30ec\u30fc\u30e0\u540c\u58eb\u306e\u9053\u8def\u9762\u3092\u5c04\u5f71\u5909\u63db\u306b\u3088\u3063\u3066\u4f4d\u7f6e\u5408\u308f\u305b\u3059\u308b.\u6700\u5f8c\u306b,\u8eca\u8f09\u30ab\u30e1\u30e9\u6620\u50cf\u306e\u6642\u7cfb\u5217\u60c5\u5831\u3092\u5229\u7528\u3057,\u9053\u8def\u9762\u6642\u7a7a\u9593\u753b\u50cf\u5dee\u5206\u306b\u3088\u308a\u969c\u5bb3\u7269\u3092\u691c\u51fa\u3059\u308b.\u8a55\u4fa1\u5b9f\u9a13\u304b\u3089,\u691c\u51fa\u5bfe\u8c61\u306e\u4e8b\u524d\u77e5\u8b58\u3092\u7528\u3044\u305a\u306b\u30dc\u30fc\u30eb\u306a\u3069\u306e\u969c\u5bb3\u7269\u3092\u691c\u51fa\u3067\u304d\u308b\u3053\u3068\u3092\u78ba\u8a8d\u3057\u305f. The aim of this research is to detect forward obstacles from front-views of in-vehicle camera images. Most existing techniques detect specific obstacles, such as a pedestrian or a vehicle. Thus, they can\u0027t detect unexpected obstacles on the road. By using subtraction, unexpected obstacles can be detected without the previous knowledge about them. Fist, the proposed method computes the correspondences between the present and the past in-vehicle camera images. Next, the proposed method compensates the gap of the road-surface regions caused by the different running positions, and determines the correspondence of the road-surface regions. Then, obstacles are detected by using spatio-temporal subtraction technique. Experiments were conducted using in-vehicle camera images. The results showed that the proposed method could detect various obstacles on the road satisfactorily.", "subitem_description_type": "Abstract"}]}, "item_10_identifier_60": {"attribute_name": "URI", "attribute_value_mlt": [{"subitem_identifier_type": "URI", "subitem_identifier_uri": "http://ci.nii.ac.jp/naid/110009546519/"}, {"subitem_identifier_type": "HDL", "subitem_identifier_uri": "http://hdl.handle.net/2237/23837"}]}, "item_10_publisher_32": {"attribute_name": "\u51fa\u7248\u8005", "attribute_value_mlt": [{"subitem_publisher": "\u4e00\u822c\u793e\u56e3\u6cd5\u4eba\u96fb\u5b50\u60c5\u5831\u901a\u4fe1\u5b66\u4f1a"}]}, "item_10_relation_40": {"attribute_name": "\u30b7\u30ea\u30fc\u30ba", "attribute_value_mlt": [{"subitem_relation_name": [{"subitem_relation_name_text": "IEICE Technical Report;PRMU2011-263"}]}, {"subitem_relation_name": [{"subitem_relation_name_text": "IEICE Technical Report;HIP2011\u221291"}]}]}, "item_10_rights_12": {"attribute_name": "\u6a29\u5229", "attribute_value_mlt": [{"subitem_rights": "(c)\u4e00\u822c\u793e\u56e3\u6cd5\u4eba\u96fb\u5b50\u60c5\u5831\u901a\u4fe1\u5b66\u4f1a \u672c\u6587\u30c7\u30fc\u30bf\u306f\u5b66\u5354\u4f1a\u306e\u8a31\u8afe\u306b\u57fa\u3065\u304dCiNii\u304b\u3089\u8907\u88fd\u3057\u305f\u3082\u306e\u3067\u3042\u308b"}]}, "item_10_select_15": {"attribute_name": "\u8457\u8005\u7248\u30d5\u30e9\u30b0", "attribute_value_mlt": [{"subitem_select_item": "publisher"}]}, "item_10_source_id_7": {"attribute_name": "ISSN", "attribute_value_mlt": [{"subitem_source_identifier": "0913-5685", "subitem_source_identifier_type": "ISSN"}]}, "item_creator": {"attribute_name": "\u8457\u8005", "attribute_type": "creator", "attribute_value_mlt": [{"creatorNames": [{"creatorName": "\u4e45\u5fb3, \u9059\u77e2"}], "nameIdentifiers": [{"nameIdentifier": "64195", "nameIdentifierScheme": "WEKO"}]}, {"creatorNames": [{"creatorName": "\u51fa\u53e3, \u5927\u8f14"}], "nameIdentifiers": [{"nameIdentifier": "64196", "nameIdentifierScheme": "WEKO"}]}, {"creatorNames": [{"creatorName": "\u9ad8\u6a4b, \u53cb\u548c"}], "nameIdentifiers": [{"nameIdentifier": "64197", "nameIdentifierScheme": "WEKO"}]}, {"creatorNames": [{"creatorName": "\u76ee\u52a0\u7530, \u6176\u4eba"}], "nameIdentifiers": [{"nameIdentifier": "64198", "nameIdentifierScheme": "WEKO"}]}, {"creatorNames": [{"creatorName": "\u4e95\u51fa, \u4e00\u90ce"}], "nameIdentifiers": [{"nameIdentifier": "64199", "nameIdentifierScheme": "WEKO"}]}, {"creatorNames": [{"creatorName": "\u6751\u702c, \u6d0b"}], "nameIdentifiers": [{"nameIdentifier": "64200", "nameIdentifierScheme": "WEKO"}]}, {"creatorNames": [{"creatorName": "KYUTOKU, Haruya"}], "nameIdentifiers": [{"nameIdentifier": "64201", "nameIdentifierScheme": "WEKO"}]}, {"creatorNames": [{"creatorName": "DEGUCHI, Daisuke"}], "nameIdentifiers": [{"nameIdentifier": "64202", "nameIdentifierScheme": "WEKO"}]}, {"creatorNames": [{"creatorName": "TAKAHASHI, Tomokazu"}], "nameIdentifiers": [{"nameIdentifier": "64203", "nameIdentifierScheme": "WEKO"}]}, {"creatorNames": [{"creatorName": "MEKADA, Yoshito"}], "nameIdentifiers": [{"nameIdentifier": "64204", "nameIdentifierScheme": "WEKO"}]}, {"creatorNames": [{"creatorName": "IDE, Ichiro"}], "nameIdentifiers": [{"nameIdentifier": "64205", "nameIdentifierScheme": "WEKO"}]}, {"creatorNames": [{"creatorName": "MURASE, Hiroshi"}], "nameIdentifiers": [{"nameIdentifier": "64206", "nameIdentifierScheme": "WEKO"}]}]}, "item_files": {"attribute_name": "\u30d5\u30a1\u30a4\u30eb\u60c5\u5831", "attribute_type": "file", "attribute_value_mlt": [{"accessrole": "open_date", "date": [{"dateType": "Available", "dateValue": "2018-02-21"}], "displaytype": "detail", "download_preview_message": "", "file_order": 0, "filename": "110009546519.pdf", "filesize": [{"value": "1.3 MB"}], "format": "application/pdf", "future_date_message": "", "is_thumbnail": false, "licensetype": "license_free", "mimetype": "application/pdf", "size": 1300000.0, "url": {"label": "110009546519.pdf", "url": "https://nagoya.repo.nii.ac.jp/record/21689/files/110009546519.pdf"}, "version_id": "513757e0-b590-45d1-b99f-1897ec37c983"}]}, "item_keyword": {"attribute_name": "\u30ad\u30fc\u30ef\u30fc\u30c9", "attribute_value_mlt": [{"subitem_subject": "\u969c\u5bb3\u7269\u691c\u51fa", "subitem_subject_scheme": "Other"}, {"subitem_subject": "\u8eca\u8f09\u30ab\u30e1\u30e9", "subitem_subject_scheme": "Other"}, {"subitem_subject": "\u5dee\u5206", "subitem_subject_scheme": "Other"}, {"subitem_subject": "ITS", "subitem_subject_scheme": "Other"}, {"subitem_subject": "Detection of obstacles", "subitem_subject_scheme": "Other"}, {"subitem_subject": "in\u2212vehicle camera", "subitem_subject_scheme": "Other"}, {"subitem_subject": "subtraction", "subitem_subject_scheme": "Other"}]}, "item_language": {"attribute_name": "\u8a00\u8a9e", "attribute_value_mlt": [{"subitem_language": "jpn"}]}, "item_resource_type": {"attribute_name": "\u8cc7\u6e90\u30bf\u30a4\u30d7", "attribute_value_mlt": [{"resourcetype": "journal article", "resourceuri": "http://purl.org/coar/resource_type/c_6501"}]}, "item_title": "\u904e\u53bb\u306e\u8eca\u8f09\u30ab\u30e1\u30e9\u6620\u50cf\u3068\u306e\u6642\u7a7a\u9593\u5dee\u5206\u306b\u3088\u308b\u4e0d\u7279\u5b9a\u969c\u5bb3\u7269\u691c\u51fa\u306b\u95a2\u3059\u308b\u691c\u8a0e", "item_titles": {"attribute_name": "\u30bf\u30a4\u30c8\u30eb", "attribute_value_mlt": [{"subitem_title": "\u904e\u53bb\u306e\u8eca\u8f09\u30ab\u30e1\u30e9\u6620\u50cf\u3068\u306e\u6642\u7a7a\u9593\u5dee\u5206\u306b\u3088\u308b\u4e0d\u7279\u5b9a\u969c\u5bb3\u7269\u691c\u51fa\u306b\u95a2\u3059\u308b\u691c\u8a0e"}]}, "item_type_id": "10", "owner": "1", "path": ["312/313/314"], "permalink_uri": "http://hdl.handle.net/2237/23837", "pubdate": {"attribute_name": "\u516c\u958b\u65e5", "attribute_value": "2016-03-15"}, "publish_date": "2016-03-15", "publish_status": "0", "recid": "21689", "relation": {}, "relation_version_is_last": true, "title": ["\u904e\u53bb\u306e\u8eca\u8f09\u30ab\u30e1\u30e9\u6620\u50cf\u3068\u306e\u6642\u7a7a\u9593\u5dee\u5206\u306b\u3088\u308b\u4e0d\u7279\u5b9a\u969c\u5bb3\u7269\u691c\u51fa\u306b\u95a2\u3059\u308b\u691c\u8a0e"], "weko_shared_id": null}