{"id":"https://openalex.org/W4405786926","doi":"https://doi.org/10.1109/iros58592.2024.10802584","title":"Channel-wise Motion Features for Efficient Motion Segmentation","display_name":"Channel-wise Motion Features for Efficient Motion Segmentation","publication_year":2024,"publication_date":"2024-10-14","ids":{"openalex":"https://openalex.org/W4405786926","doi":"https://doi.org/10.1109/iros58592.2024.10802584"},"language":"en","primary_location":{"id":"doi:10.1109/iros58592.2024.10802584","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iros58592.2024.10802584","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)","raw_type":"proceedings-article"},"type":"article","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2507.13082","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5021392103","display_name":"Riku Inoue","orcid":null},"institutions":[{"id":"https://openalex.org/I1283473643","display_name":"Honda (Japan)","ror":"https://ror.org/03jzay846","country_code":"JP","type":"company","lineage":["https://openalex.org/I1283473643"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Riku Inoue","raw_affiliation_strings":["Honda R&D Co., Ltd.,Tokyo,Japan,107-6238"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Honda R&D Co., Ltd.,Tokyo,Japan,107-6238","institution_ids":["https://openalex.org/I1283473643"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110481239","display_name":"Masamitsu Tsuchiya","orcid":null},"institutions":[{"id":"https://openalex.org/I1283473643","display_name":"Honda (Japan)","ror":"https://ror.org/03jzay846","country_code":"JP","type":"company","lineage":["https://openalex.org/I1283473643"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Masamitsu Tsuchiya","raw_affiliation_strings":["Honda R&D Co., Ltd.,Tokyo,Japan,107-6238"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Honda R&D Co., Ltd.,Tokyo,Japan,107-6238","institution_ids":["https://openalex.org/I1283473643"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5109523475","display_name":"Yuji Yasui","orcid":null},"institutions":[{"id":"https://openalex.org/I1283473643","display_name":"Honda (Japan)","ror":"https://ror.org/03jzay846","country_code":"JP","type":"company","lineage":["https://openalex.org/I1283473643"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Yuji Yasui","raw_affiliation_strings":["Honda R&D Co., Ltd.,Tokyo,Japan,107-6238"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Honda R&D Co., Ltd.,Tokyo,Japan,107-6238","institution_ids":["https://openalex.org/I1283473643"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.22388678,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"9557","last_page":"9564"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","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/T10531","display_name":"Advanced Vision and Imaging","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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9995999932289124,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9995999932289124,"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/motion","display_name":"Motion (physics)","score":0.6892173290252686},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6353079080581665},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.5905221104621887},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5852844715118408},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5740870237350464},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5634823441505432},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.16182100772857666}],"concepts":[{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.6892173290252686},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6353079080581665},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.5905221104621887},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5852844715118408},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5740870237350464},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5634823441505432},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.16182100772857666}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/iros58592.2024.10802584","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iros58592.2024.10802584","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2507.13082","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2507.13082","pdf_url":"https://arxiv.org/pdf/2507.13082","source":{"id":"https://openalex.org/S4393918464","display_name":"ArXiv.org","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2507.13082","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2507.13082","pdf_url":"https://arxiv.org/pdf/2507.13082","source":{"id":"https://openalex.org/S4393918464","display_name":"ArXiv.org","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":48,"referenced_works":["https://openalex.org/W639708223","https://openalex.org/W2115579991","https://openalex.org/W2194775991","https://openalex.org/W2560474170","https://openalex.org/W2774058387","https://openalex.org/W2899771611","https://openalex.org/W2953920664","https://openalex.org/W2955084925","https://openalex.org/W2962914239","https://openalex.org/W2963150697","https://openalex.org/W2963345294","https://openalex.org/W2963351448","https://openalex.org/W2963395775","https://openalex.org/W2963849369","https://openalex.org/W2963983744","https://openalex.org/W2964241181","https://openalex.org/W2964968086","https://openalex.org/W2985775862","https://openalex.org/W2996010494","https://openalex.org/W2997487053","https://openalex.org/W3001586682","https://openalex.org/W3034826836","https://openalex.org/W3035358681","https://openalex.org/W3035549667","https://openalex.org/W3093600664","https://openalex.org/W3106546328","https://openalex.org/W3109379931","https://openalex.org/W3109908659","https://openalex.org/W3113410735","https://openalex.org/W3171953850","https://openalex.org/W3174415351","https://openalex.org/W3174522583","https://openalex.org/W3175682855","https://openalex.org/W3175701034","https://openalex.org/W3188295239","https://openalex.org/W4226265017","https://openalex.org/W4312460151","https://openalex.org/W4312572946","https://openalex.org/W4319300199","https://openalex.org/W4386066020","https://openalex.org/W4386071550","https://openalex.org/W4390190104","https://openalex.org/W4411244721","https://openalex.org/W6620707391","https://openalex.org/W6726497184","https://openalex.org/W6756040250","https://openalex.org/W6784930956","https://openalex.org/W6880846568"],"related_works":["https://openalex.org/W2772917594","https://openalex.org/W2036807459","https://openalex.org/W2058170566","https://openalex.org/W2755342338","https://openalex.org/W2166024367","https://openalex.org/W3116076068","https://openalex.org/W2229312674","https://openalex.org/W2951359407","https://openalex.org/W2079911747","https://openalex.org/W1969923398"],"abstract_inverted_index":{"For":[0],"safety-critical":[1],"robotics":[2],"applications":[3],"such":[4],"as":[5],"autonomous":[6],"driving,":[7],"it":[8,103],"is":[9,116],"important":[10],"to":[11,49,111,157],"detect":[12],"all":[13],"required":[14],"objects":[15,27],"accurately":[16],"in":[17,31,92,138],"real-time.":[18],"Motion":[19,83,114],"segmentation":[20,38],"offers":[21,104],"a":[22,32,59,76],"solution":[23],"by":[24],"identifying":[25],"dynamic":[26],"from":[28],"the":[29,61,66,93,98,117,133,139,145,155],"scene":[30],"class-agnostic":[33],"manner.":[34],"Recently,":[35],"various":[36],"motion":[37,79,101],"models":[39,137],"have":[40],"been":[41],"proposed,":[42],"most":[43],"of":[44,65,89,135,144],"which":[45],"jointly":[46],"use":[47],"subnetworks":[48],"estimate":[50],"Depth,":[51],"Pose,":[52],"Optical":[53],"Flow,":[54],"and":[55,96,120,142],"Scene":[56],"Flow.":[57],"As":[58],"result,":[60],"overall":[62],"computational":[63],"cost":[64],"model":[67],"increases,":[68],"hindering":[69],"real-time":[70],"performance.In":[71],"this":[72],"paper,":[73],"we":[74],"propose":[75],"novel":[77],"cost-volume-based":[78],"feature":[80,94],"representation,":[81],"Channel-wise":[82,113],"Features.":[84],"By":[85],"extracting":[86],"depth":[87],"features":[88],"each":[90],"instance":[91],"map":[95],"capturing":[97],"scene\u2019s":[99],"3D":[100],"information,":[102],"enhanced":[105],"efficiency.":[106],"The":[107],"only":[108,128],"subnetwork":[109],"used":[110],"build":[112],"Features":[115],"Pose":[118],"Network,":[119],"no":[121],"others":[122],"are":[123],"required.":[124],"Our":[125],"method":[126],"not":[127],"achieves":[129],"about":[130,158],"4":[131],"times":[132],"FPS":[134],"state-of-the-art":[136],"KITTI":[140],"Dataset":[141],"Cityscapes":[143],"VCAS-Motion":[146],"Dataset,":[147],"but":[148],"also":[149],"demonstrates":[150],"equivalent":[151],"accuracy":[152],"while":[153],"reducing":[154],"parameters":[156],"25%.":[159]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}