{"id":"https://openalex.org/W2731070218","doi":"https://doi.org/10.3390/s17071546","title":"Moving Object Detection in Heterogeneous Conditions in Embedded Systems","display_name":"Moving Object Detection in Heterogeneous Conditions in Embedded Systems","publication_year":2017,"publication_date":"2017-07-01","ids":{"openalex":"https://openalex.org/W2731070218","doi":"https://doi.org/10.3390/s17071546","mag":"2731070218","pmid":"https://pubmed.ncbi.nlm.nih.gov/28671582"},"language":"en","primary_location":{"id":"doi:10.3390/s17071546","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s17071546","pdf_url":"https://www.mdpi.com/1424-8220/17/7/1546/pdf?version=1499080879","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/1424-8220/17/7/1546/pdf?version=1499080879","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5026375918","display_name":"Alessandro Garbo","orcid":null},"institutions":[{"id":"https://openalex.org/I177477856","display_name":"Politecnico di Torino","ror":"https://ror.org/00bgk9508","country_code":"IT","type":"education","lineage":["https://openalex.org/I177477856"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Alessandro Garbo","raw_affiliation_strings":["Dipartimento di Automatica ed Informatica, Politecnico di Torino, 10129 Torino, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dipartimento di Automatica ed Informatica, Politecnico di Torino, 10129 Torino, Italy","institution_ids":["https://openalex.org/I177477856"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5023997315","display_name":"Stefano Quer","orcid":"https://orcid.org/0000-0001-6835-8277"},"institutions":[{"id":"https://openalex.org/I177477856","display_name":"Politecnico di Torino","ror":"https://ror.org/00bgk9508","country_code":"IT","type":"education","lineage":["https://openalex.org/I177477856"]}],"countries":["IT"],"is_corresponding":true,"raw_author_name":"Stefano Quer","raw_affiliation_strings":["Dipartimento di Automatica ed Informatica, Politecnico di Torino, 10129 Torino, Italy"],"raw_orcid":"https://orcid.org/0000-0001-6835-8277","affiliations":[{"raw_affiliation_string":"Dipartimento di Automatica ed Informatica, Politecnico di Torino, 10129 Torino, Italy","institution_ids":["https://openalex.org/I177477856"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5023997315"],"corresponding_institution_ids":["https://openalex.org/I177477856"],"apc_list":{"value":2400,"currency":"CHF","value_usd":2673},"apc_paid":{"value":2400,"currency":"CHF","value_usd":2673},"fwci":0.32,"has_fulltext":true,"cited_by_count":4,"citation_normalized_percentile":{"value":0.64651475,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"17","issue":"7","first_page":"1546","last_page":"1546"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":1.0,"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":1.0,"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":0.9987999796867371,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9972000122070312,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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-science","display_name":"Computer science","score":0.8270643949508667},{"id":"https://openalex.org/keywords/video-tracking","display_name":"Video tracking","score":0.635475218296051},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.6021676063537598},{"id":"https://openalex.org/keywords/false-positive-paradox","display_name":"False positive paradox","score":0.5300602316856384},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.528863251209259},{"id":"https://openalex.org/keywords/concurrency","display_name":"Concurrency","score":0.49782609939575195},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.4699777662754059},{"id":"https://openalex.org/keywords/pedestrian-detection","display_name":"Pedestrian detection","score":0.4587460160255432},{"id":"https://openalex.org/keywords/frame","display_name":"Frame (networking)","score":0.41694176197052},{"id":"https://openalex.org/keywords/reliability","display_name":"Reliability (semiconductor)","score":0.41143277287483215},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.38833731412887573},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.3580746352672577},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.32003074884414673},{"id":"https://openalex.org/keywords/video-processing","display_name":"Video processing","score":0.28932759165763855},{"id":"https://openalex.org/keywords/pedestrian","display_name":"Pedestrian","score":0.20408740639686584},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.12743040919303894}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8270643949508667},{"id":"https://openalex.org/C202474056","wikidata":"https://www.wikidata.org/wiki/Q1931635","display_name":"Video tracking","level":3,"score":0.635475218296051},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.6021676063537598},{"id":"https://openalex.org/C64869954","wikidata":"https://www.wikidata.org/wiki/Q1859747","display_name":"False positive paradox","level":2,"score":0.5300602316856384},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.528863251209259},{"id":"https://openalex.org/C193702766","wikidata":"https://www.wikidata.org/wiki/Q1414548","display_name":"Concurrency","level":2,"score":0.49782609939575195},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.4699777662754059},{"id":"https://openalex.org/C2780156472","wikidata":"https://www.wikidata.org/wiki/Q2355550","display_name":"Pedestrian detection","level":3,"score":0.4587460160255432},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.41694176197052},{"id":"https://openalex.org/C43214815","wikidata":"https://www.wikidata.org/wiki/Q7310987","display_name":"Reliability (semiconductor)","level":3,"score":0.41143277287483215},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.38833731412887573},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.3580746352672577},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.32003074884414673},{"id":"https://openalex.org/C65483669","wikidata":"https://www.wikidata.org/wiki/Q3536669","display_name":"Video processing","level":2,"score":0.28932759165763855},{"id":"https://openalex.org/C2777113093","wikidata":"https://www.wikidata.org/wiki/Q221488","display_name":"Pedestrian","level":2,"score":0.20408740639686584},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.12743040919303894},{"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/C22212356","wikidata":"https://www.wikidata.org/wiki/Q775325","display_name":"Transport engineering","level":1,"score":0.0},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":6,"locations":[{"id":"doi:10.3390/s17071546","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s17071546","pdf_url":"https://www.mdpi.com/1424-8220/17/7/1546/pdf?version=1499080879","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},{"id":"pmid:28671582","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/28671582","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors (Basel, Switzerland)","raw_type":null},{"id":"pmh:oai:doaj.org/article:6f678bc19dc041ccb25245675e5f64d7","is_oa":true,"landing_page_url":"https://doaj.org/article/6f678bc19dc041ccb25245675e5f64d7","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors, Vol 17, Iss 7, p 1546 (2017)","raw_type":"article"},{"id":"pmh:oai:europepmc.org:4394156","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/5539508","pdf_url":null,"source":{"id":"https://openalex.org/S4306400806","display_name":"Europe PMC (PubMed Central)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1303153112","host_organization_name":"European Bioinformatics Institute","host_organization_lineage":["https://openalex.org/I1303153112"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Text"},{"id":"pmh:oai:mdpi.com:/1424-8220/17/7/1546/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/s17071546","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors; Volume 17; Issue 7; Pages: 1546","raw_type":"Text"},{"id":"pmh:oai:porto.polito.it:2677563","is_oa":true,"landing_page_url":"http://porto.polito.it/2677563/","pdf_url":null,"source":{"id":"https://openalex.org/S4306402038","display_name":"PORTO Publications Open Repository TOrino (Politecnico di Torino)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I177477856","host_organization_name":"Politecnico di Torino","host_organization_lineage":["https://openalex.org/I177477856"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"ISSN:1424-8220","raw_type":"info:eu-repo/semantics/article"}],"best_oa_location":{"id":"doi:10.3390/s17071546","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s17071546","pdf_url":"https://www.mdpi.com/1424-8220/17/7/1546/pdf?version=1499080879","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","score":0.8199999928474426,"display_name":"Sustainable cities and communities"}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2731070218.pdf","grobid_xml":"https://content.openalex.org/works/W2731070218.grobid-xml"},"referenced_works_count":59,"referenced_works":["https://openalex.org/W1494501886","https://openalex.org/W1519128923","https://openalex.org/W1533024232","https://openalex.org/W1604541405","https://openalex.org/W1970206276","https://openalex.org/W1970693447","https://openalex.org/W1977991519","https://openalex.org/W2012242422","https://openalex.org/W2015227583","https://openalex.org/W2035866593","https://openalex.org/W2038621822","https://openalex.org/W2042127251","https://openalex.org/W2081362370","https://openalex.org/W2084997728","https://openalex.org/W2087546568","https://openalex.org/W2102625004","https://openalex.org/W2106459587","https://openalex.org/W2107775979","https://openalex.org/W2111308925","https://openalex.org/W2115869950","https://openalex.org/W2118877769","https://openalex.org/W2121091546","https://openalex.org/W2121193292","https://openalex.org/W2132103241","https://openalex.org/W2133755669","https://openalex.org/W2135869020","https://openalex.org/W2143373691","https://openalex.org/W2144720632","https://openalex.org/W2147221461","https://openalex.org/W2149070968","https://openalex.org/W2152945944","https://openalex.org/W2156547346","https://openalex.org/W2157030221","https://openalex.org/W2158005276","https://openalex.org/W2162383208","https://openalex.org/W2168356304","https://openalex.org/W2171901700","https://openalex.org/W2193145675","https://openalex.org/W2400639613","https://openalex.org/W2410340862","https://openalex.org/W2532516272","https://openalex.org/W2606592784","https://openalex.org/W2612965162","https://openalex.org/W2780358087","https://openalex.org/W2963037989","https://openalex.org/W3097096317","https://openalex.org/W3106250896","https://openalex.org/W3151111735","https://openalex.org/W4231340930","https://openalex.org/W4236952561","https://openalex.org/W4237743494","https://openalex.org/W4248936881","https://openalex.org/W6676770471","https://openalex.org/W6676877620","https://openalex.org/W6679388247","https://openalex.org/W6681368121","https://openalex.org/W6683226302","https://openalex.org/W6683411478","https://openalex.org/W6683821696"],"related_works":["https://openalex.org/W2608226141","https://openalex.org/W2802018156","https://openalex.org/W4313315626","https://openalex.org/W2101531944","https://openalex.org/W2922437833","https://openalex.org/W2100052226","https://openalex.org/W4312696271","https://openalex.org/W4223892596","https://openalex.org/W2933098581","https://openalex.org/W2556125083"],"abstract_inverted_index":{"This":[0],"paper":[1,169],"presents":[2],"a":[3,58,160,174],"system":[4,20,108],"for":[5,176],"moving":[6],"object":[7],"exposure,":[8],"focusing":[9],"on":[10,99,104,113,127,193],"pedestrian":[11],"detection,":[12],"in":[13,35,57,65,179],"external,":[14],"unfriendly,":[15],"and":[16,22,50,53,79,88,90,95,111,121,126,148,186,199,205],"heterogeneous":[17],"environments.":[18],"The":[19,132],"manipulates":[21],"accurately":[23],"merges":[24],"information":[25,120],"coming":[26],"from":[27],"subsequent":[28],"video":[29,146,195],"frames,":[30],"making":[31],"small":[32,149],"computational":[33,151,184],"efforts":[34],"each":[36,124],"single":[37],"frame.":[38],"Its":[39],"main":[40],"characterizing":[41],"feature":[42],"is":[43,109,130,134,170],"to":[44,54,61,73,84,137],"combine":[45],"several":[46,194],"well-known":[47],"movement":[48],"detection":[49,210],"tracking":[51,222],"techniques,":[52],"orchestrate":[55],"them":[56],"smart":[59],"way":[60],"obtain":[62],"good":[63],"results":[64,192],"diversified":[66],"scenarios.":[67],"It":[68],"uses":[69],"dynamically":[70],"adjusted":[71],"thresholds":[72],"characterize":[74],"different":[75,116],"regions":[76],"of":[77,162,167,173,207],"interest,":[78],"it":[80],"also":[81],"adopts":[82],"techniques":[83],"efficiently":[85],"track":[86],"movements,":[87],"detect":[89],"correct":[91],"false":[92],"positives.":[93],"Accuracy":[94],"reliability":[96],"mainly":[97],"depend":[98],"the":[100,106,115,164,168,171,203,208],"overall":[101,209],"receipt,":[102],"i.e.,":[103],"how":[105,114,128],"software":[107],"designed":[110,136],"implemented,":[112],"algorithmic":[117],"phases":[118],"communicate":[119],"collaborate":[122],"with":[123,139,182,213],"other,":[125],"concurrency":[129],"organized.":[131],"application":[133,219],"specifically":[135],"work":[138],"inexpensive":[140],"hardware":[141],"devices,":[142],"such":[143],"as":[144],"off-the-shelf":[145],"cameras":[147],"embedded":[150,180],"units,":[152],"eventually":[153],"forming":[154],"an":[155],"intelligent":[156],"urban":[157],"grid.":[158],"As":[159],"matter":[161],"fact,":[163],"major":[165],"contribution":[166],"presentation":[172],"tool":[175],"real-time":[177],"applications":[178],"devices":[181],"finite":[183],"(time":[185],"memory)":[187],"resources.":[188],"We":[189],"run":[190],"experimental":[191],"sequences":[196],"(both":[197],"home-made":[198],"publicly":[200],"available),":[201],"showing":[202],"robustness":[204],"accuracy":[206,223],"strategy.":[211],"Comparisons":[212],"state-of-the-art":[214],"strategies":[215],"show":[216],"that":[217],"our":[218],"has":[220],"similar":[221],"but":[224],"much":[225],"higher":[226],"frame-per-second":[227],"rates.":[228]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1}],"updated_date":"2026-07-30T17:31:21.811387","created_date":"2025-10-10T00:00:00"}
