{"_buckets": {"deposit": "8cf6ada6-79e8-4af3-9e97-05b063c0deed"}, "_deposit": {"id": "4068", "owners": [], "pid": {"revision_id": 0, "type": "depid", "value": "4068"}, "status": "published"}, "_oai": {"id": "oai:repository.dl.itc.u-tokyo.ac.jp:00004068"}, "item_7_alternative_title_1": {"attribute_name": "\u305d\u306e\u4ed6\u306e\u30bf\u30a4\u30c8\u30eb", "attribute_value_mlt": [{"subitem_alternative_title": "\u52d5\u753b\u50cf\u306b\u304a\u3051\u308b\u30ec\u30f3\u30ba\u4e0a\u306e\u96e8\u6ef4\u306e\u8a8d\u8b58\u3068\u9664\u53bb"}]}, "item_7_biblio_info_7": {"attribute_name": "\u66f8\u8a8c\u60c5\u5831", "attribute_value_mlt": [{"bibliographicIssueDates": {"bibliographicIssueDate": "2012-09-27", "bibliographicIssueDateType": "Issued"}, "bibliographic_titles": [{}]}]}, "item_7_date_granted_25": {"attribute_name": "\u5b66\u4f4d\u6388\u4e0e\u5e74\u6708\u65e5", "attribute_value_mlt": [{"subitem_dategranted": "2012-09-27"}]}, "item_7_degree_name_20": {"attribute_name": "\u5b66\u4f4d\u540d", "attribute_value_mlt": [{"subitem_degreename": "\u4fee\u58eb(\u60c5\u5831\u7406\u5de5\u5b66)"}]}, "item_7_description_5": {"attribute_name": "\u6284\u9332", "attribute_value_mlt": [{"subitem_description": "Raindrops appeared on windscreens or window glass can degrade the visibility of the outside scenes. If we can detect and later remove the raindrops, many applications such as intelligent vehicle system will benefit from it. In this thesis, we intend to focus on developing a method of automatic raindrop detection. We mathematically analyze the characteristics of raindrops adhered to a clear transparent surface, particularly the characteristics of the motion and the changes of the intensity values. The analysis is motivated by the fact that a raindrop conceives the information of the whole background scene, behaving like a minuscule catadioptric lens. In conducting the analysis, we found that motion of raindrop pixels is slower than that of non-raindrop pixels, and the change of intensity of raindrop pixels is smaller than that of non-raindrop pixels. Based on these findings, we developed our detection method. Experimental results using real videos show the effectiveness of our method. Having detected raindrops, in this thesis, algorithms to automatically repair the video in complex outdoor environment are proposed. We categorize outdoor environments into 3 situations and propose a video repairing algorithm for each of them. First, for a fast motion, structured and textured video, a sparse matching based algorithm to estimate dense motion is described. A classification based on the dense motion is introduced and raindrop removal are proposed. Second, for a slow motion, structured and textured video, a raindrop removal method using image registration is introduced. Third, for a static and non-structured video, a modified image inpainting method is introduced for raindrop removal. Experimental results using real videos show the effectiveness of our method.", "subitem_description_type": "Abstract"}]}, "item_7_full_name_3": {"attribute_name": "\u8457\u8005\u5225\u540d", "attribute_value_mlt": [{"nameIdentifiers": [{"nameIdentifier": "9380", "nameIdentifierScheme": "WEKO"}], "names": [{"name": "\u5c24, \u5c11\u8fea"}]}]}, "item_7_select_21": {"attribute_name": "\u5b66\u4f4d", "attribute_value_mlt": [{"subitem_select_item": "master"}]}, "item_7_subject_13": {"attribute_name": "\u65e5\u672c\u5341\u9032\u5206\u985e\u6cd5", "attribute_value_mlt": [{"subitem_subject": "548", "subitem_subject_scheme": "NDC"}]}, "item_7_text_24": {"attribute_name": "\u7814\u7a76\u79d1\u30fb\u5c02\u653b", "attribute_value_mlt": [{"subitem_text_value": "\u60c5\u5831\u7406\u5de5\u5b66\u7cfb\u7814\u7a76\u79d1\u96fb\u5b50\u60c5\u5831\u5b66\u5c02\u653b"}]}, "item_7_text_36": {"attribute_name": "\u8cc7\u6e90\u30bf\u30a4\u30d7", "attribute_value_mlt": [{"subitem_text_value": "Thesis"}]}, "item_7_text_4": {"attribute_name": "\u8457\u8005\u6240\u5c5e", "attribute_value_mlt": [{"subitem_text_value": "\u6771\u4eac\u5927\u5b66\u5927\u5b66\u9662\u60c5\u5831\u7406\u5de5\u5b66\u7cfb\u7814\u7a76\u79d1\u96fb\u5b50\u60c5\u5831\u5b66\u5c02\u653b"}, {"subitem_text_value": "Department of Information and Communication Engineering, Graduate School of Information Science and Technology, The University of Tokyo"}]}, "item_creator": {"attribute_name": "\u8457\u8005", "attribute_type": "creator", "attribute_value_mlt": [{"creatorNames": [{"creatorName": "You, Shaodi"}], "nameIdentifiers": [{"nameIdentifier": "9379", "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": "2017-06-01"}], "displaytype": "detail", "download_preview_message": "", "file_order": 0, "filename": "48106453.pdf", "filesize": [{"value": "11.0 MB"}], "format": "application/pdf", "future_date_message": "", "is_thumbnail": false, "licensetype": "license_free", "mimetype": "application/pdf", "size": 11000000.0, "url": {"label": "48106453.pdf", "url": "https://repository.dl.itc.u-tokyo.ac.jp/record/4068/files/48106453.pdf"}, "version_id": "1c5da90a-0890-4835-97ad-3c8aca6eb92c"}]}, "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": "thesis", "resourceuri": "http://purl.org/coar/resource_type/c_46ec"}]}, "item_title": "Adherent raindrops detection and removal in video", "item_titles": {"attribute_name": "\u30bf\u30a4\u30c8\u30eb", "attribute_value_mlt": [{"subitem_title": "Adherent raindrops detection and removal in video"}]}, "item_type_id": "7", "owner": "1", "path": ["9/233/234", "34/105/262"], "permalink_uri": "http://hdl.handle.net/2261/52456", "pubdate": {"attribute_name": "\u516c\u958b\u65e5", "attribute_value": "2012-10-30"}, "publish_date": "2012-10-30", "publish_status": "0", "recid": "4068", "relation": {}, "relation_version_is_last": true, "title": ["Adherent raindrops detection and removal in video"], "weko_shared_id": null}