{"_buckets": {"deposit": "84839631-0019-462a-8cee-f1bd17428c32"}, "_deposit": {"id": "5160", "owners": [], "pid": {"revision_id": 0, "type": "depid", "value": "5160"}, "status": "published"}, "_oai": {"id": "oai:nagoya.repo.nii.ac.jp:00005160"}, "item_10_biblio_info_6": {"attribute_name": "\u66f8\u8a8c\u60c5\u5831", "attribute_value_mlt": [{"bibliographicIssueDates": {"bibliographicIssueDate": "2002-09", "bibliographicIssueDateType": "Issued"}, "bibliographicIssueNumber": "9", "bibliographicPageEnd": "1296", "bibliographicPageStart": "1291", "bibliographicVolumeNumber": "24", "bibliographic_titles": [{"bibliographic_title": "IEEE Transactions on Pattern Analysis and Machine Intelligence"}]}]}, "item_10_description_4": {"attribute_name": "\u6284\u9332", "attribute_value_mlt": [{"subitem_description": "Shadows of moving objects often obstruct robust visual tracking. We propose an HMM-based segmentation method which classifies in real time each pixel or region into three categories: shadows, foreground, and background objects. In the case of traffic monitoring movies, the effectiveness of the propossed method has been proven through experimental results.", "subitem_description_type": "Abstract"}]}, "item_10_identifier_60": {"attribute_name": "URI", "attribute_value_mlt": [{"subitem_identifier_type": "HDL", "subitem_identifier_uri": "http://hdl.handle.net/2237/6744"}]}, "item_10_publisher_32": {"attribute_name": "\u51fa\u7248\u8005", "attribute_value_mlt": [{"subitem_publisher": "IEEE"}]}, "item_10_relation_11": {"attribute_name": "DOI", "attribute_value_mlt": [{"subitem_relation_type_id": {"subitem_relation_type_id_text": "http://dx.doi.org/10.1109/TPAMI.2002.1033221", "subitem_relation_type_select": "DOI"}}]}, "item_10_rights_12": {"attribute_name": "\u6a29\u5229", "attribute_value_mlt": [{"subitem_rights": "Copyright \u00a9 2002 IEEE. Reprinted from (relevant publication info). This material is posted here with permission of the IEEE. Such permission of the IEEE does not in any way imply IEEE endorsement of any of Nagoya University\u2019s products or services. Internal or personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution must be obtained from the IEEE by writing to pubs-permissions@ieee.org."}]}, "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": "0162-8828", "subitem_source_identifier_type": "ISSN"}]}, "item_10_text_14": {"attribute_name": "\u30d5\u30a9\u30fc\u30de\u30c3\u30c8", "attribute_value_mlt": [{"subitem_text_value": "application/pdf"}]}, "item_creator": {"attribute_name": "\u8457\u8005", "attribute_type": "creator", "attribute_value_mlt": [{"creatorNames": [{"creatorName": "Kato, Jien"}], "nameIdentifiers": [{"nameIdentifier": "12912", "nameIdentifierScheme": "WEKO"}]}, {"creatorNames": [{"creatorName": "Watanabe, Toyohide"}], "nameIdentifiers": [{"nameIdentifier": "12913", "nameIdentifierScheme": "WEKO"}]}, {"creatorNames": [{"creatorName": "Joga, Sebastien"}], "nameIdentifiers": [{"nameIdentifier": "12914", "nameIdentifierScheme": "WEKO"}]}, {"creatorNames": [{"creatorName": "Jens, Rittscher"}], "nameIdentifiers": [{"nameIdentifier": "12915", "nameIdentifierScheme": "WEKO"}]}, {"creatorNames": [{"creatorName": "Andrew, Blake"}], "nameIdentifiers": [{"nameIdentifier": "12916", "nameIdentifierScheme": "WEKO"}]}, {"creatorNames": [{"creatorName": "\u52a0\u85e4, \u30b8\u30a7\u30fc\u30f3"}], "nameIdentifiers": [{"nameIdentifier": "12917", "nameIdentifierScheme": "WEKO"}]}, {"creatorNames": [{"creatorName": "\u6e21\u9089, \u8c4a\u82f1"}], "nameIdentifiers": [{"nameIdentifier": "12918", "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": "2018-02-19"}], "displaytype": "detail", "download_preview_message": "", "file_order": 0, "filename": "01033221.pdf", "filesize": [{"value": "744.8 kB"}], "format": "application/pdf", "future_date_message": "", "is_thumbnail": false, "licensetype": "license_free", "mimetype": "application/pdf", "size": 744800.0, "url": {"label": "01033221.pdf", "url": "https://nagoya.repo.nii.ac.jp/record/5160/files/01033221.pdf"}, "version_id": "53c495dd-811b-437b-bd36-68069b13d209"}]}, "item_keyword": {"attribute_name": "\u30ad\u30fc\u30ef\u30fc\u30c9", "attribute_value_mlt": [{"subitem_subject": "Car tracking", "subitem_subject_scheme": "Other"}, {"subitem_subject": "hidden Markov model", "subitem_subject_scheme": "Other"}, {"subitem_subject": "image classification", "subitem_subject_scheme": "Other"}, {"subitem_subject": "image segmentation", "subitem_subject_scheme": "Other"}, {"subitem_subject": "wavelet coefficients", "subitem_subject_scheme": "Other"}]}, "item_language": {"attribute_name": "\u8a00\u8a9e", "attribute_value_mlt": [{"subitem_language": "eng"}]}, "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": "An HMM-based segmentation method for traffic monitoring movies", "item_titles": {"attribute_name": "\u30bf\u30a4\u30c8\u30eb", "attribute_value_mlt": [{"subitem_title": "An HMM-based segmentation method for traffic monitoring movies"}]}, "item_type_id": "10", "owner": "1", "path": ["320/321/322"], "permalink_uri": "http://hdl.handle.net/2237/6744", "pubdate": {"attribute_name": "\u516c\u958b\u65e5", "attribute_name_i18n": "\u516c\u958b\u65e5", "attribute_value": "2006-07-26"}, "publish_date": "2006-07-26", "publish_status": "0", "recid": "5160", "relation": {}, "relation_version_is_last": true, "title": ["An HMM-based segmentation method for traffic monitoring movies"], "weko_shared_id": 3}