{"_buckets": {"deposit": "fa63f48a-59f7-46b4-859d-5dd04144f83f"}, "_deposit": {"id": "13064", "owners": [], "pid": {"revision_id": 0, "type": "depid", "value": "13064"}, "status": "published"}, "_oai": {"id": "oai:nagoya.repo.nii.ac.jp:00013064"}, "item_10_biblio_info_6": {"attribute_name": "\u66f8\u8a8c\u60c5\u5831", "attribute_value_mlt": [{"bibliographicIssueDates": {"bibliographicIssueDate": "2007-08-01", "bibliographicIssueDateType": "Issued"}, "bibliographicIssueNumber": "8", "bibliographicPageEnd": "1141", "bibliographicPageStart": "1134", "bibliographicVolumeNumber": "E90-D", "bibliographic_titles": [{"bibliographic_title": "IEICE transactions on information and systems"}]}]}, "item_10_description_4": {"attribute_name": "\u6284\u9332", "attribute_value_mlt": [{"subitem_description": "We present a novel training method for recognizing traffic sign symbols. The symbol images captured by a car-mounted camera suffer from various forms of image degradation. To cope with degradations, similarly degraded images should be used as training data. Our method artificially generates such training data from original templates of traffic sign symbols. Degradation models and a GA-based algorithm that simulates actual captured images are established. The proposed method enables us to obtain training data of all categories without exhaustively collecting them. Experimental results show the effectiveness of the proposed method for traffic sign symbol recognition.", "subitem_description_type": "Abstract"}]}, "item_10_identifier_60": {"attribute_name": "URI", "attribute_value_mlt": [{"subitem_identifier_type": "URI", "subitem_identifier_uri": "http://www.ieice.org/jpn/trans_online/index.html"}, {"subitem_identifier_type": "HDL", "subitem_identifier_uri": "http://hdl.handle.net/2237/14958"}]}, "item_10_publisher_32": {"attribute_name": "\u51fa\u7248\u8005", "attribute_value_mlt": [{"subitem_publisher": "Institute of Electronics, Information and Communication Engineers"}]}, "item_10_rights_12": {"attribute_name": "\u6a29\u5229", "attribute_value_mlt": [{"subitem_rights": "Copyright (C) 2007 IEICE"}]}, "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": "0916-8532", "subitem_source_identifier_type": "ISSN"}]}, "item_creator": {"attribute_name": "\u8457\u8005", "attribute_type": "creator", "attribute_value_mlt": [{"creatorNames": [{"creatorName": "ISHIDA, Hiroyuki"}], "nameIdentifiers": [{"nameIdentifier": "41093", "nameIdentifierScheme": "WEKO"}]}, {"creatorNames": [{"creatorName": "TAKAHASHI, Tomokazu"}], "nameIdentifiers": [{"nameIdentifier": "41094", "nameIdentifierScheme": "WEKO"}]}, {"creatorNames": [{"creatorName": "IDE, Ichiro"}], "nameIdentifiers": [{"nameIdentifier": "41095", "nameIdentifierScheme": "WEKO"}]}, {"creatorNames": [{"creatorName": "MEKADA, Yoshito"}], "nameIdentifiers": [{"nameIdentifier": "41096", "nameIdentifierScheme": "WEKO"}]}, {"creatorNames": [{"creatorName": "MURASE, Hiroshi"}], "nameIdentifiers": [{"nameIdentifier": "41097", "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": "2018-02-20"}], "displaytype": "detail", "download_preview_message": "", "file_order": 0, "filename": "354.pdf", "filesize": [{"value": "707.2 kB"}], "format": "application/pdf", "future_date_message": "", "is_thumbnail": false, "licensetype": "license_free", "mimetype": "application/pdf", "size": 707200.0, "url": {"label": "354.pdf", "url": "https://nagoya.repo.nii.ac.jp/record/13064/files/354.pdf"}, "version_id": "6e06c66d-5c6c-49da-9179-605d8475e539"}]}, "item_keyword": {"attribute_name": "\u30ad\u30fc\u30ef\u30fc\u30c9", "attribute_value_mlt": [{"subitem_subject": "traffic sign recognition", "subitem_subject_scheme": "Other"}, {"subitem_subject": "generative learning method", "subitem_subject_scheme": "Other"}, {"subitem_subject": "genetic algorithm", "subitem_subject_scheme": "Other"}, {"subitem_subject": "car-mounted camera", "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": "Generation of Training Data by Degradation Models for Traffic Sign Symbol Recognition", "item_titles": {"attribute_name": "\u30bf\u30a4\u30c8\u30eb", "attribute_value_mlt": [{"subitem_title": "Generation of Training Data by Degradation Models for Traffic Sign Symbol Recognition"}]}, "item_type_id": "10", "owner": "1", "path": ["312/313/314"], "permalink_uri": "http://hdl.handle.net/2237/14958", "pubdate": {"attribute_name": "\u516c\u958b\u65e5", "attribute_value": "2011-06-28"}, "publish_date": "2011-06-28", "publish_status": "0", "recid": "13064", "relation": {}, "relation_version_is_last": true, "title": ["Generation of Training Data by Degradation Models for Traffic Sign Symbol Recognition"], "weko_shared_id": null}