{"id":"https://openalex.org/W1957307149","doi":"https://doi.org/10.1109/ispa.2015.7306030","title":"Moving object detection for unconstrained low-altitude aerial videos, a pose-independant detector based on Artificial Flow","display_name":"Moving object detection for unconstrained low-altitude aerial videos, a pose-independant detector based on Artificial Flow","publication_year":2015,"publication_date":"2015-09-01","ids":{"openalex":"https://openalex.org/W1957307149","doi":"https://doi.org/10.1109/ispa.2015.7306030","mag":"1957307149"},"language":"en","primary_location":{"id":"doi:10.1109/ispa.2015.7306030","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ispa.2015.7306030","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 9th International Symposium on Image and Signal Processing and Analysis (ISPA)","raw_type":"proceedings-article"},"type":"article","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/A5067697756","display_name":"Thomas Castelli","orcid":"https://orcid.org/0009-0002-8933-6397"},"institutions":[{"id":"https://openalex.org/I4210085887","display_name":"Laboratoire Hubert Curien","ror":"https://ror.org/0028p8r67","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I203339264","https://openalex.org/I277688954","https://openalex.org/I4210085887","https://openalex.org/I4210091746","https://openalex.org/I4210095849","https://openalex.org/I4412460541","https://openalex.org/I59692284"]},{"id":"https://openalex.org/I112991645","display_name":"Airbus (France)","ror":"https://ror.org/023qdcg29","country_code":"FR","type":"company","lineage":["https://openalex.org/I112991645","https://openalex.org/I4210121748"]}],"countries":["FR"],"is_corresponding":true,"raw_author_name":"Thomas Castelli","raw_affiliation_strings":["Laboratoire Hubert Curien, Univcrsit\u00e9 Jean-Monnet, Saint-Etienne, FRANCE","Survey Copter, Airbus Defense and Space, Pierrelatte, FRANCE"],"affiliations":[{"raw_affiliation_string":"Laboratoire Hubert Curien, Univcrsit\u00e9 Jean-Monnet, Saint-Etienne, FRANCE","institution_ids":["https://openalex.org/I4210085887"]},{"raw_affiliation_string":"Survey Copter, Airbus Defense and Space, Pierrelatte, FRANCE","institution_ids":["https://openalex.org/I112991645"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041689611","display_name":"Alain Tr\u00e9meau","orcid":"https://orcid.org/0000-0003-2826-7519"},"institutions":[{"id":"https://openalex.org/I4210085887","display_name":"Laboratoire Hubert Curien","ror":"https://ror.org/0028p8r67","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I203339264","https://openalex.org/I277688954","https://openalex.org/I4210085887","https://openalex.org/I4210091746","https://openalex.org/I4210095849","https://openalex.org/I4412460541","https://openalex.org/I59692284"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Alain Tremeau","raw_affiliation_strings":["Laboratoire Hubert Curien, Univcrsit\u00e9 Jean-Monnet, Saint-Etienne, FRANCE"],"affiliations":[{"raw_affiliation_string":"Laboratoire Hubert Curien, Univcrsit\u00e9 Jean-Monnet, Saint-Etienne, FRANCE","institution_ids":["https://openalex.org/I4210085887"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057302941","display_name":"Hubert Konik","orcid":"https://orcid.org/0000-0002-8056-9541"},"institutions":[{"id":"https://openalex.org/I4210085887","display_name":"Laboratoire Hubert Curien","ror":"https://ror.org/0028p8r67","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I203339264","https://openalex.org/I277688954","https://openalex.org/I4210085887","https://openalex.org/I4210091746","https://openalex.org/I4210095849","https://openalex.org/I4412460541","https://openalex.org/I59692284"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Hubert Konik","raw_affiliation_strings":["Laboratoire Hubert Curien, Univcrsit\u00e9 Jean-Monnet, Saint-Etienne, FRANCE"],"affiliations":[{"raw_affiliation_string":"Laboratoire Hubert Curien, Univcrsit\u00e9 Jean-Monnet, Saint-Etienne, FRANCE","institution_ids":["https://openalex.org/I4210085887"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5048631355","display_name":"\u00c9ric Dinet","orcid":null},"institutions":[{"id":"https://openalex.org/I4210085887","display_name":"Laboratoire Hubert Curien","ror":"https://ror.org/0028p8r67","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I203339264","https://openalex.org/I277688954","https://openalex.org/I4210085887","https://openalex.org/I4210091746","https://openalex.org/I4210095849","https://openalex.org/I4412460541","https://openalex.org/I59692284"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Eric Dinet","raw_affiliation_strings":["Laboratoire Hubert Curien, Univcrsit\u00e9 Jean-Monnet, Saint-Etienne, FRANCE"],"affiliations":[{"raw_affiliation_string":"Laboratoire Hubert Curien, Univcrsit\u00e9 Jean-Monnet, Saint-Etienne, FRANCE","institution_ids":["https://openalex.org/I4210085887"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5067697756"],"corresponding_institution_ids":["https://openalex.org/I112991645","https://openalex.org/I4210085887"],"apc_list":null,"apc_paid":null,"fwci":0.3682,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.67245653,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"4","issue":null,"first_page":"42","last_page":"47"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9998999834060669,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9998999834060669,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.9993000030517578,"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/T10812","display_name":"Human Pose and Action Recognition","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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.825084924697876},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.8068205118179321},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7854007482528687},{"id":"https://openalex.org/keywords/optical-flow","display_name":"Optical flow","score":0.7564759850502014},{"id":"https://openalex.org/keywords/low-altitude","display_name":"Low altitude","score":0.7008176445960999},{"id":"https://openalex.org/keywords/detector","display_name":"Detector","score":0.6103330254554749},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.6069799661636353},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.5954583287239075},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.5743190050125122},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.536664605140686},{"id":"https://openalex.org/keywords/motion","display_name":"Motion (physics)","score":0.49141204357147217},{"id":"https://openalex.org/keywords/motion-detection","display_name":"Motion detection","score":0.4317344129085541},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.427388072013855},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3012930154800415},{"id":"https://openalex.org/keywords/altitude","display_name":"Altitude (triangle)","score":0.2750658392906189},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.2014836072921753},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.09638208150863647},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.09510904550552368}],"concepts":[{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.825084924697876},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.8068205118179321},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7854007482528687},{"id":"https://openalex.org/C155542232","wikidata":"https://www.wikidata.org/wiki/Q736111","display_name":"Optical flow","level":3,"score":0.7564759850502014},{"id":"https://openalex.org/C2993172488","wikidata":"https://www.wikidata.org/wiki/Q190200","display_name":"Low altitude","level":3,"score":0.7008176445960999},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.6103330254554749},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.6069799661636353},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.5954583287239075},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.5743190050125122},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.536664605140686},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.49141204357147217},{"id":"https://openalex.org/C2780624872","wikidata":"https://www.wikidata.org/wiki/Q852453","display_name":"Motion detection","level":3,"score":0.4317344129085541},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.427388072013855},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3012930154800415},{"id":"https://openalex.org/C6350597","wikidata":"https://www.wikidata.org/wiki/Q339495","display_name":"Altitude (triangle)","level":2,"score":0.2750658392906189},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.2014836072921753},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.09638208150863647},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.09510904550552368},{"id":"https://openalex.org/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","level":1,"score":0.0},{"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/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ispa.2015.7306030","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ispa.2015.7306030","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 9th International Symposium on Image and Signal Processing and Analysis (ISPA)","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":34,"referenced_works":["https://openalex.org/W21212968","https://openalex.org/W105459820","https://openalex.org/W341521680","https://openalex.org/W1502024436","https://openalex.org/W1578985305","https://openalex.org/W1755891578","https://openalex.org/W1867429401","https://openalex.org/W1967878059","https://openalex.org/W1974318954","https://openalex.org/W1978551103","https://openalex.org/W1987268931","https://openalex.org/W2000326692","https://openalex.org/W2058250125","https://openalex.org/W2065943074","https://openalex.org/W2087061417","https://openalex.org/W2113050750","https://openalex.org/W2114527206","https://openalex.org/W2115606256","https://openalex.org/W2121121722","https://openalex.org/W2121153043","https://openalex.org/W2132103241","https://openalex.org/W2138187652","https://openalex.org/W2150000644","https://openalex.org/W2153383835","https://openalex.org/W2166849055","https://openalex.org/W2167089254","https://openalex.org/W2171116555","https://openalex.org/W6600871764","https://openalex.org/W6611588651","https://openalex.org/W6650413978","https://openalex.org/W6672512439","https://openalex.org/W6676832264","https://openalex.org/W6677104885","https://openalex.org/W6682706546"],"related_works":["https://openalex.org/W2095705906","https://openalex.org/W2054235656","https://openalex.org/W3096301266","https://openalex.org/W346723641","https://openalex.org/W3084370450","https://openalex.org/W4281560450","https://openalex.org/W3088631390","https://openalex.org/W1975589496","https://openalex.org/W2122456626","https://openalex.org/W40964945"],"abstract_inverted_index":{"Automatic":[0],"detection":[1],"of":[2,43,85,90],"moving":[3,70,100],"objects":[4],"is":[5,26,75],"an":[6,62],"important":[7],"task":[8,107],"for":[9,20],"aerial":[10,53],"surveillance.":[11],"It":[12],"has":[13],"been":[14],"a":[15,28],"popular":[16],"and":[17,38,61,80,110],"well-studied":[18],"subject":[19],"the":[21,44,82,86,91,96,105],"computer":[22],"vision":[23],"community,":[24],"but":[25],"still":[27],"challenge.":[29],"The":[30,88,99],"method":[31,56,92],"we":[32],"introduce":[33],"targets":[34],"surveillance":[35],"low-altitude":[36],"mini":[37],"micro-UAVs.":[39],"We":[40],"take":[41],"advantage":[42],"inherent":[45],"image":[46],"motion":[47],"on":[48,95],"footage":[49],"captured":[50],"by":[51],"such":[52],"vehicles.":[54],"Our":[55],"confronts":[57],"Optical":[58],"Flow":[59,64],"vectors":[60],"estimated":[63],"in":[65],"order":[66],"to":[67,77,81],"detect":[68],"independently":[69],"pixels.":[71],"This":[72],"motion-based":[73],"approach":[74],"robust":[76,109],"operational":[78],"conditions":[79],"geometric":[83],"properties":[84],"scene.":[87],"efficiency":[89],"was":[93],"computed":[94],"VIVID":[97],"database.":[98],"areas":[101],"detected":[102],"will":[103],"make":[104],"tracking":[106],"more":[108],"efficient.":[111]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
