{"id":"https://openalex.org/W2595900799","doi":"https://doi.org/10.1117/12.2268704","title":"Temporal and spatial information extraction from videos based on the change in length of the shadow","display_name":"Temporal and spatial information extraction from videos based on the change in length of the shadow","publication_year":2017,"publication_date":"2017-03-17","ids":{"openalex":"https://openalex.org/W2595900799","doi":"https://doi.org/10.1117/12.2268704","mag":"2595900799"},"language":"en","primary_location":{"id":"doi:10.1117/12.2268704","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.2268704","pdf_url":null,"source":{"id":"https://openalex.org/S183492911","display_name":"Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE","issn_l":"0277-786X","issn":["0277-786X","1996-756X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310315543","host_organization_name":"SPIE","host_organization_lineage":["https://openalex.org/P4310315543"],"host_organization_lineage_names":["SPIE"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"SPIE Proceedings","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101755038","display_name":"Jiayun Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiayun Wang","raw_affiliation_strings":["Xi'an Jiaotong Univ. (China)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Xi'an Jiaotong Univ. (China)","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071310326","display_name":"Jian Zu","orcid":"https://orcid.org/0000-0003-3633-0725"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jian Zu","raw_affiliation_strings":["Xi'an Jiaotong Univ. (China)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Xi'an Jiaotong Univ. (China)","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5081606287","display_name":"Likang Wang","orcid":"https://orcid.org/0000-0001-9099-4026"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Likang Wang","raw_affiliation_strings":["Xi'an Jiaotong Univ. (China)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Xi'an Jiaotong Univ. (China)","institution_ids":["https://openalex.org/I87445476"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I87445476"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.01423809,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"10341","issue":null,"first_page":"103410U","last_page":"103410U"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","score":0.9983999729156494,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","score":0.9983999729156494,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11439","display_name":"Video Analysis and Summarization","score":0.9980000257492065,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9955000281333923,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/shadow","display_name":"Shadow (psychology)","score":0.8594375848770142},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7422834634780884},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.6134842038154602},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6104233264923096},{"id":"https://openalex.org/keywords/spatial-analysis","display_name":"Spatial analysis","score":0.5413177013397217},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5403509140014648},{"id":"https://openalex.org/keywords/index","display_name":"Index (typography)","score":0.5036246180534363},{"id":"https://openalex.org/keywords/basis","display_name":"Basis (linear algebra)","score":0.4948260188102722},{"id":"https://openalex.org/keywords/information-extraction","display_name":"Information extraction","score":0.48588985204696655},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.23917263746261597},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.23504236340522766},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.12383595108985901},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.08713847398757935}],"concepts":[{"id":"https://openalex.org/C117797892","wikidata":"https://www.wikidata.org/wiki/Q286363","display_name":"Shadow (psychology)","level":2,"score":0.8594375848770142},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7422834634780884},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.6134842038154602},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6104233264923096},{"id":"https://openalex.org/C159620131","wikidata":"https://www.wikidata.org/wiki/Q1938983","display_name":"Spatial analysis","level":2,"score":0.5413177013397217},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5403509140014648},{"id":"https://openalex.org/C2777382242","wikidata":"https://www.wikidata.org/wiki/Q6017816","display_name":"Index (typography)","level":2,"score":0.5036246180534363},{"id":"https://openalex.org/C12426560","wikidata":"https://www.wikidata.org/wiki/Q189569","display_name":"Basis (linear algebra)","level":2,"score":0.4948260188102722},{"id":"https://openalex.org/C195807954","wikidata":"https://www.wikidata.org/wiki/Q1662562","display_name":"Information extraction","level":2,"score":0.48588985204696655},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.23917263746261597},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.23504236340522766},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.12383595108985901},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.08713847398757935},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C542102704","wikidata":"https://www.wikidata.org/wiki/Q183257","display_name":"Psychotherapist","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1117/12.2268704","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.2268704","pdf_url":null,"source":{"id":"https://openalex.org/S183492911","display_name":"Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE","issn_l":"0277-786X","issn":["0277-786X","1996-756X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310315543","host_organization_name":"SPIE","host_organization_lineage":["https://openalex.org/P4310315543"],"host_organization_lineage_names":["SPIE"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"SPIE Proceedings","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":9,"referenced_works":["https://openalex.org/W1592174025","https://openalex.org/W2033819227","https://openalex.org/W2108752147","https://openalex.org/W2110051872","https://openalex.org/W2148786132","https://openalex.org/W2480490664","https://openalex.org/W6635564847","https://openalex.org/W6676485353","https://openalex.org/W6681972577"],"related_works":["https://openalex.org/W2893218741","https://openalex.org/W4392589133","https://openalex.org/W2558319350","https://openalex.org/W1492594177","https://openalex.org/W1842742976","https://openalex.org/W2803235238","https://openalex.org/W3112085556","https://openalex.org/W399661440","https://openalex.org/W4392585872","https://openalex.org/W410356389"],"abstract_inverted_index":{"In":[0],"this":[1,69],"paper,":[2],"considering":[3],"the":[4,14,23,26,37,40,44,56,62,66,73,87,93,97,100,108],"atmospheric":[5],"refractive":[6],"index,":[7],"we":[8,71],"present":[9],"an":[10],"approach":[11,53],"to":[12,54],"extract":[13,55,86],"recording":[15],"date":[16],"and":[17,49,58,85,89],"geo-location":[18],"from":[19,81],"videos,":[20],"based":[21],"on":[22],"alteration":[24],"of":[25,39,43,61,68,77,92,110],"shadow":[27,74],"length.":[28],"The":[29],"paper":[30],"carefully":[31],"takes":[32],"different":[33],"information":[34,60,91],"(photographed":[35],"date,":[36],"length":[38,75],"selected":[41],"object)":[42],"given":[45,63],"video":[46,84],"into":[47],"consideration":[48],"forms":[50],"a":[51,78,82],"comprehensive":[52],"temporal":[57,88],"spatial":[59,90],"video.":[64,94],"On":[65],"basis":[67],"approach,":[70],"analyze":[72],"data":[76],"chosen":[79],"object":[80],"real":[83],"Compared":[95],"with":[96],"actual":[98],"information,":[99],"error":[101],"is":[102],"less":[103],"than":[104],"1%,":[105],"which":[106],"proves":[107],"validity":[109],"our":[111],"approach.":[112]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}