{"id":"https://openalex.org/W4385763653","doi":"https://doi.org/10.1145/3606283.3606284","title":"Motion segmentation in Moving Camera Videos using Velocity Guided Optical Flow Normalization","display_name":"Motion segmentation in Moving Camera Videos using Velocity Guided Optical Flow Normalization","publication_year":2023,"publication_date":"2023-06-23","ids":{"openalex":"https://openalex.org/W4385763653","doi":"https://doi.org/10.1145/3606283.3606284"},"language":"en","primary_location":{"id":"doi:10.1145/3606283.3606284","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3606283.3606284","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2023 7th International Conference on Graphics and Signal Processing","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/A5078360325","display_name":"Sigit Adinugroho","orcid":"https://orcid.org/0000-0001-7585-2070"},"institutions":[{"id":"https://openalex.org/I163770644","display_name":"Okayama University","ror":"https://ror.org/02pc6pc55","country_code":"JP","type":"education","lineage":["https://openalex.org/I163770644"]},{"id":"https://openalex.org/I177055848","display_name":"University of Brawijaya","ror":"https://ror.org/01wk3d929","country_code":"ID","type":"education","lineage":["https://openalex.org/I177055848"]}],"countries":["ID","JP"],"is_corresponding":false,"raw_author_name":"Sigit Adinugroho","raw_affiliation_strings":["Graduate School of Interdisciplinary Science and Engineering in Health Systems, Okayama University, Japan and Faculty of Computer Science, Brawijaya University, Indonesia"],"raw_orcid":"https://orcid.org/0000-0001-7585-2070","affiliations":[{"raw_affiliation_string":"Graduate School of Interdisciplinary Science and Engineering in Health Systems, Okayama University, Japan and Faculty of Computer Science, Brawijaya University, Indonesia","institution_ids":["https://openalex.org/I163770644","https://openalex.org/I177055848"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5018415095","display_name":"Akio Gofuku","orcid":"https://orcid.org/0000-0001-8912-9801"},"institutions":[{"id":"https://openalex.org/I163770644","display_name":"Okayama University","ror":"https://ror.org/02pc6pc55","country_code":"JP","type":"education","lineage":["https://openalex.org/I163770644"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Akio Gofuku","raw_affiliation_strings":["Graduate School of Interdisciplinary Science and Engineering in Health Systems, Okayama University, Japan"],"raw_orcid":"https://orcid.org/0000-0001-8912-9801","affiliations":[{"raw_affiliation_string":"Graduate School of Interdisciplinary Science and Engineering in Health Systems, Okayama University, Japan","institution_ids":["https://openalex.org/I163770644"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","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/T10531","display_name":"Advanced Vision and Imaging","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/T10331","display_name":"Video Surveillance and Tracking Methods","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/T11105","display_name":"Advanced Image Processing Techniques","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"}}],"keywords":[{"id":"https://openalex.org/keywords/optical-flow","display_name":"Optical flow","score":0.8932172060012817},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.8418580293655396},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.8164131045341492},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6935147047042847},{"id":"https://openalex.org/keywords/normalization","display_name":"Normalization (sociology)","score":0.6619627475738525},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5411985516548157},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.44600051641464233},{"id":"https://openalex.org/keywords/motion-field","display_name":"Motion field","score":0.4233434796333313},{"id":"https://openalex.org/keywords/motion-estimation","display_name":"Motion estimation","score":0.361585795879364},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.17483118176460266}],"concepts":[{"id":"https://openalex.org/C155542232","wikidata":"https://www.wikidata.org/wiki/Q736111","display_name":"Optical flow","level":3,"score":0.8932172060012817},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.8418580293655396},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.8164131045341492},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6935147047042847},{"id":"https://openalex.org/C136886441","wikidata":"https://www.wikidata.org/wiki/Q926129","display_name":"Normalization (sociology)","level":2,"score":0.6619627475738525},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5411985516548157},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.44600051641464233},{"id":"https://openalex.org/C124774092","wikidata":"https://www.wikidata.org/wiki/Q6917782","display_name":"Motion field","level":3,"score":0.4233434796333313},{"id":"https://openalex.org/C10161872","wikidata":"https://www.wikidata.org/wiki/Q557891","display_name":"Motion estimation","level":2,"score":0.361585795879364},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.17483118176460266},{"id":"https://openalex.org/C19165224","wikidata":"https://www.wikidata.org/wiki/Q23404","display_name":"Anthropology","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3606283.3606284","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3606283.3606284","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2023 7th International Conference on Graphics and Signal Processing","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":31,"referenced_works":["https://openalex.org/W1496571393","https://openalex.org/W1590014818","https://openalex.org/W2069533927","https://openalex.org/W2126164636","https://openalex.org/W2147253850","https://openalex.org/W2156901517","https://openalex.org/W2292391243","https://openalex.org/W2326050853","https://openalex.org/W2367473202","https://openalex.org/W2547120296","https://openalex.org/W2566030665","https://openalex.org/W2630837129","https://openalex.org/W2737258237","https://openalex.org/W2793586828","https://openalex.org/W2807715806","https://openalex.org/W2887531143","https://openalex.org/W2897204591","https://openalex.org/W2904631343","https://openalex.org/W2963089960","https://openalex.org/W2963983744","https://openalex.org/W3013965544","https://openalex.org/W3017097154","https://openalex.org/W3091831318","https://openalex.org/W3121611132","https://openalex.org/W3127528059","https://openalex.org/W3154439859","https://openalex.org/W4226075137","https://openalex.org/W4283160212","https://openalex.org/W4288594637","https://openalex.org/W4289082871","https://openalex.org/W4312797714"],"related_works":["https://openalex.org/W1501297619","https://openalex.org/W2354637046","https://openalex.org/W2053820737","https://openalex.org/W2120943489","https://openalex.org/W1484667368","https://openalex.org/W4286646204","https://openalex.org/W1988727984","https://openalex.org/W2093488518","https://openalex.org/W2030154815","https://openalex.org/W2051121715"],"abstract_inverted_index":{"An":[0],"obstacle":[1],"avoidance":[2,15],"system":[3,16],"is":[4,85,102,112],"a":[5,9,26,33,37,40,45,116,121],"key":[6],"feature":[7],"of":[8,92,149,155,167,170],"robot":[10,46],"navigation":[11],"system.":[12],"A":[13],"capable":[14],"should":[17],"consider":[18],"obstacles":[19],"movements":[20],"into":[21],"account.":[22],"This":[23],"study":[24],"proposes":[25],"new":[27],"approach":[28],"for":[29,104],"detecting":[30],"motion":[31,122,126],"from":[32,52],"video":[34,56,143],"captured":[35],"by":[36,160],"moving":[38],"camera,":[39],"similar":[41],"scenario":[42],"happens":[43],"in":[44,132],"use":[47],"case.":[48],"The":[49,108],"process":[50],"starts":[51],"acquiring":[53],"two":[54],"successive":[55],"frames":[57],"and":[58,127,165,173],"computes":[59],"its":[60],"optical":[61,90,105,110],"flow":[62,91,106,111],"image":[63],"using":[64],"gmflownet.":[65],"Then,":[66],"the":[67,74,89,99,125,133,138,147,150,156,161],"semantic":[68,128],"segmentation":[69],"mask,":[70],"as":[71,73],"well":[72],"estimated":[75,86],"depth":[76],"map,":[77],"are":[78,130],"also":[79],"generated.":[80],"After":[81],"that,":[82],"camera":[83],"velocity":[84,100],"based":[87],"on":[88,142],"points":[93],"belonging":[94],"to":[95,115,119,136],"static":[96],"objects.":[97],"Next,":[98],"information":[101],"used":[103],"normalization.":[107],"normalized":[109],"then":[113],"fed":[114],"DeeplabV3":[117],"network":[118],"obtain":[120,137],"mask.":[123,140],"Finally,":[124],"mask":[129],"fused":[131],"postprocessing":[134],"stage":[135],"final":[139],"Experiments":[141],"data":[144],"indicate":[145],"that":[146,154],"performance":[148],"proposed":[151],"method":[152],"exceeds":[153],"standard":[157],"one":[158],"indicated":[159],"average":[162],"precision,":[163],"recall,":[164],"IoU":[166],"non-zero":[168],"results":[169],"0.814,":[171],"0.719,":[172],"0.6222,":[174],"respectively.":[175]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}