{"id":"https://openalex.org/W1571866903","doi":"https://doi.org/10.1109/iciap.2003.1234119","title":"3DMODS: 3D moving obstacle detection system","display_name":"3DMODS: 3D moving obstacle detection system","publication_year":2004,"publication_date":"2004-02-03","ids":{"openalex":"https://openalex.org/W1571866903","doi":"https://doi.org/10.1109/iciap.2003.1234119","mag":"1571866903"},"language":"en","primary_location":{"id":"doi:10.1109/iciap.2003.1234119","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iciap.2003.1234119","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"12th International Conference on Image Analysis and Processing, 2003.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/A5001127082","display_name":"G. Garibotto","orcid":null},"institutions":[{"id":"https://openalex.org/I2802798279","display_name":"Leonardo (Italy)","ror":"https://ror.org/0470vke61","country_code":"IT","type":"company","lineage":["https://openalex.org/I2802798279"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"G. Garibotto","raw_affiliation_strings":["Elsag S.p.A., Genoa, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Elsag S.p.A., Genoa, Italy","institution_ids":["https://openalex.org/I2802798279"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086076412","display_name":"M. Corvi","orcid":null},"institutions":[{"id":"https://openalex.org/I2802798279","display_name":"Leonardo (Italy)","ror":"https://ror.org/0470vke61","country_code":"IT","type":"company","lineage":["https://openalex.org/I2802798279"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"M. Corvi","raw_affiliation_strings":["Elsag S.p.A., Genoa, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Elsag S.p.A., Genoa, Italy","institution_ids":["https://openalex.org/I2802798279"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083764883","display_name":"C. Cibei","orcid":null},"institutions":[{"id":"https://openalex.org/I2802798279","display_name":"Leonardo (Italy)","ror":"https://ror.org/0470vke61","country_code":"IT","type":"company","lineage":["https://openalex.org/I2802798279"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"C. Cibei","raw_affiliation_strings":["Elsag S.p.A., Genoa, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Elsag S.p.A., Genoa, Italy","institution_ids":["https://openalex.org/I2802798279"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5033170025","display_name":"S. Sciarrino","orcid":null},"institutions":[{"id":"https://openalex.org/I2802798279","display_name":"Leonardo (Italy)","ror":"https://ror.org/0470vke61","country_code":"IT","type":"company","lineage":["https://openalex.org/I2802798279"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"S. Sciarrino","raw_affiliation_strings":["Elsag S.p.A., Genoa, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Elsag S.p.A., Genoa, Italy","institution_ids":["https://openalex.org/I2802798279"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I2802798279"],"apc_list":null,"apc_paid":null,"fwci":1.241,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.7612776,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"194","issue":null,"first_page":"618","last_page":"623"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T14257","display_name":"Advanced Measurement and Detection Methods","score":0.9987999796867371,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T14257","display_name":"Advanced Measurement and Detection Methods","score":0.9987999796867371,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9980999827384949,"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/T12389","display_name":"Infrared Target Detection Methodologies","score":0.9972000122070312,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.8076735138893127},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7913641929626465},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7621023058891296},{"id":"https://openalex.org/keywords/obstacle","display_name":"Obstacle","score":0.7041235566139221},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.5929223299026489},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.5296623110771179},{"id":"https://openalex.org/keywords/consistency","display_name":"Consistency (knowledge bases)","score":0.47898125648498535},{"id":"https://openalex.org/keywords/transformation","display_name":"Transformation (genetics)","score":0.47671741247177124},{"id":"https://openalex.org/keywords/structured-light","display_name":"Structured light","score":0.4757009446620941},{"id":"https://openalex.org/keywords/change-detection","display_name":"Change detection","score":0.4600856304168701},{"id":"https://openalex.org/keywords/stereopsis","display_name":"Stereopsis","score":0.4526980221271515},{"id":"https://openalex.org/keywords/false-alarm","display_name":"False alarm","score":0.4118392765522003},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.27234122157096863}],"concepts":[{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.8076735138893127},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7913641929626465},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7621023058891296},{"id":"https://openalex.org/C2776650193","wikidata":"https://www.wikidata.org/wiki/Q264661","display_name":"Obstacle","level":2,"score":0.7041235566139221},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.5929223299026489},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.5296623110771179},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.47898125648498535},{"id":"https://openalex.org/C204241405","wikidata":"https://www.wikidata.org/wiki/Q461499","display_name":"Transformation (genetics)","level":3,"score":0.47671741247177124},{"id":"https://openalex.org/C193581530","wikidata":"https://www.wikidata.org/wiki/Q683778","display_name":"Structured light","level":2,"score":0.4757009446620941},{"id":"https://openalex.org/C203595873","wikidata":"https://www.wikidata.org/wiki/Q25389927","display_name":"Change detection","level":2,"score":0.4600856304168701},{"id":"https://openalex.org/C68537008","wikidata":"https://www.wikidata.org/wiki/Q247932","display_name":"Stereopsis","level":2,"score":0.4526980221271515},{"id":"https://openalex.org/C2776836416","wikidata":"https://www.wikidata.org/wiki/Q1364844","display_name":"False alarm","level":2,"score":0.4118392765522003},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.27234122157096863},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iciap.2003.1234119","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iciap.2003.1234119","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"12th International Conference on Image Analysis and Processing, 2003.Proceedings.","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6100000143051147,"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W1600035955","https://openalex.org/W1990472106","https://openalex.org/W2099858702","https://openalex.org/W2124260676","https://openalex.org/W2139695834","https://openalex.org/W2145713909","https://openalex.org/W2171681042","https://openalex.org/W2570617923","https://openalex.org/W3022352042","https://openalex.org/W4300652674","https://openalex.org/W6636080524","https://openalex.org/W6776689895"],"related_works":["https://openalex.org/W2568858292","https://openalex.org/W1515964938","https://openalex.org/W2389381914","https://openalex.org/W2376528221","https://openalex.org/W196800607","https://openalex.org/W2359428812","https://openalex.org/W3181296946","https://openalex.org/W2015705630","https://openalex.org/W2148298232","https://openalex.org/W2548003152"],"abstract_inverted_index":{"The":[0,35],"proposed":[1,36],"system":[2],"is":[3,40,53,96,114,137],"aimed":[4],"at":[5,55,79],"detecting":[6],"and":[7,156,170],"classifying":[8],"3D":[9,106,118],"moving":[10,62,117],"objects":[11,63,166],"for":[12,142],"security":[13],"control":[14],"of":[15,87,93,104,148],"unmanned":[16],"automatic":[17],"railway":[18],"stations.":[19],"Most":[20],"common":[21],"approaches":[22],"are":[23,69,159],"based":[24,41],"on":[25,42,101],"active":[26],"sensors":[27],"like":[28],"optical":[29],"barriers":[30],"or":[31,124,131],"laser":[32],"scanning":[33],"devices.":[34],"approach,":[37],"named":[38],"3DMODS,":[39],"stereo":[43,94],"vision":[44],"technology,":[45],"using":[46,98],"a":[47,116,121,126],"prediction-verification":[48],"paradigm.":[49],"Adaptive":[50],"change":[51,113],"detection":[52,176],"performed":[54],"the":[56,65,73,84,88,102,111,164,168],"video":[57],"rate":[58],"to":[59,82,108,140,161],"detect":[60],"immediately":[61],"in":[64,146,167],"scene.":[66],"Object":[67],"features":[68],"collected":[70],"by":[71,129],"\"scanning\"":[72],"scene":[74,169],"with":[75,120],"different":[76],"parallel":[77],"planes":[78],"variable":[80],"height,":[81],"verify":[83,109],"volumetric":[85],"consistency":[86],"detected":[89,112],"object.":[90],"A":[91,133],"prediction":[92],"correspondence":[95],"performed,":[97],"homographic":[99],"transformation":[100],"set":[103],"predefined":[105],"planes,":[107],"whether":[110],"really":[115],"object":[119,150],"significant":[122],"size,":[123,151],"just":[125],"phantom":[127],"caused":[128],"shadows":[130],"highlights.":[132],"simple":[134],"classification":[135],"scheme":[136],"currently":[138],"implemented":[139],"decide":[141],"an":[143],"alarm":[144,175],"candidate":[145],"case":[147],"relevant":[149,165],"but":[152],"much":[153,172],"more":[154,173],"complex":[155],"flexible":[157],"solutions":[158],"possible,":[160],"recognize":[162],"all":[163],"achieve":[171],"robust":[174],"performance.":[177]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}