{"id":"https://openalex.org/W7134833730","doi":"https://doi.org/10.48550/arxiv.2603.06846","title":"MotionBits: Video Segmentation through Motion-Level Analysis of Rigid Bodies","display_name":"MotionBits: Video Segmentation through Motion-Level Analysis of Rigid Bodies","publication_year":2026,"publication_date":"2026-03-06","ids":{"openalex":"https://openalex.org/W7134833730","doi":"https://doi.org/10.48550/arxiv.2603.06846"},"language":null,"primary_location":{"id":"pmh:doi:10.48550/arxiv.2603.06846","is_oa":true,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4406922384","display_name":"Open MIND","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":"publisher-specific-oa","license_id":"https://openalex.org/licenses/publisher-specific-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Article"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":null,"any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5128638036","display_name":"Howard H. Qian","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Qian, Howard H.","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079959899","display_name":"Kejia Ren","orcid":"https://orcid.org/0000-0002-6970-2268"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ren, Kejia","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5128650165","display_name":"Yu Xiang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xiang, Yu","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027328044","display_name":"Vicente Ord\u00f3\u00f1ez","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ordonez, Vicente","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5011451275","display_name":"Kaiyu Hang","orcid":"https://orcid.org/0000-0003-4132-1217"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Hang, Kaiyu","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10653","display_name":"Robot Manipulation and Learning","score":0.5026000142097473,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems 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/T10653","display_name":"Robot Manipulation and Learning","score":0.5026000142097473,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems 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/T10812","display_name":"Human Pose and Action Recognition","score":0.29170000553131104,"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/T10709","display_name":"Social Robot Interaction and HRI","score":0.05979999899864197,"subfield":{"id":"https://openalex.org/subfields/3207","display_name":"Social Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/embodied-cognition","display_name":"Embodied cognition","score":0.822700023651123},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.784600019454956},{"id":"https://openalex.org/keywords/perception","display_name":"Perception","score":0.4860999882221222},{"id":"https://openalex.org/keywords/kinematics","display_name":"Kinematics","score":0.47760000824928284},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.4259999990463257},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.38929998874664307},{"id":"https://openalex.org/keywords/scale-space-segmentation","display_name":"Scale-space segmentation","score":0.3765000104904175},{"id":"https://openalex.org/keywords/robot","display_name":"Robot","score":0.3725000023841858}],"concepts":[{"id":"https://openalex.org/C100609095","wikidata":"https://www.wikidata.org/wiki/Q1335050","display_name":"Embodied cognition","level":2,"score":0.822700023651123},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.784600019454956},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7177000045776367},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6449999809265137},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6353999972343445},{"id":"https://openalex.org/C26760741","wikidata":"https://www.wikidata.org/wiki/Q160402","display_name":"Perception","level":2,"score":0.4860999882221222},{"id":"https://openalex.org/C39920418","wikidata":"https://www.wikidata.org/wiki/Q11476","display_name":"Kinematics","level":2,"score":0.47760000824928284},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.4259999990463257},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.38929998874664307},{"id":"https://openalex.org/C65885262","wikidata":"https://www.wikidata.org/wiki/Q7429708","display_name":"Scale-space segmentation","level":4,"score":0.3765000104904175},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.3725000023841858},{"id":"https://openalex.org/C155911833","wikidata":"https://www.wikidata.org/wiki/Q3817354","display_name":"Spatial intelligence","level":2,"score":0.3614000082015991},{"id":"https://openalex.org/C25694479","wikidata":"https://www.wikidata.org/wiki/Q7446278","display_name":"Segmentation-based object categorization","level":5,"score":0.33230000734329224},{"id":"https://openalex.org/C16345878","wikidata":"https://www.wikidata.org/wiki/Q107472979","display_name":"Orientation (vector space)","level":2,"score":0.3003999888896942},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.28790000081062317},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.2637999951839447},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.25540000200271606},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.2551000118255615},{"id":"https://openalex.org/C34413123","wikidata":"https://www.wikidata.org/wiki/Q170978","display_name":"Robotics","level":3,"score":0.25380000472068787}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:doi:10.48550/arxiv.2603.06846","is_oa":true,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4406922384","display_name":"Open MIND","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":"publisher-specific-oa","license_id":"https://openalex.org/licenses/publisher-specific-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Article"},{"id":"doi:10.48550/arxiv.2603.06846","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.06846","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"pmh:doi:10.48550/arxiv.2603.06846","is_oa":true,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4406922384","display_name":"Open MIND","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":"publisher-specific-oa","license_id":"https://openalex.org/licenses/publisher-specific-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Rigid":[0],"bodies":[1,34],"constitute":[2],"the":[3,8,85,105,147,153],"smallest":[4,86],"manipulable":[5],"elements":[6],"in":[7,45,58,88,143],"real":[9],"world,":[10],"and":[11,22,29,43,108,124,127,162],"understanding":[12,173],"how":[13],"they":[14],"physically":[15],"interact":[16],"is":[17,35],"fundamental":[18,170],"to":[19,41,61],"embodied":[20,68,138,160],"reasoning":[21,39,161],"robotic":[23,122],"manipulation.":[24],"Thus,":[25],"accurate":[26],"detection,":[27],"segmentation,":[28],"tracking":[30],"of":[31,97,155],"moving":[32,118],"rigid":[33],"essential":[36],"for":[37,66,116,158,172],"enabling":[38],"modules":[40],"interpret":[42],"act":[44],"diverse":[46],"environments.":[47],"However,":[48],"current":[49],"segmentation":[50,90,120,133,157],"models":[51],"trained":[52],"on":[53,146],"semantic":[54],"grouping":[55],"are":[56],"limited":[57],"their":[59],"ability":[60],"provide":[62],"meaningful":[63],"interaction-level":[64],"cues":[65],"completing":[67],"tasks.":[69],"To":[70],"address":[71],"this":[72,100],"gap,":[73],"we":[74,102,151],"introduce":[75],"MotionBit,":[76],"a":[77,111,129,169],"novel":[78],"concept":[79,107],"that,":[80],"unlike":[81],"prior":[82],"formulations,":[83],"defines":[84],"unit":[87],"motion-based":[89],"through":[91],"kinematic":[92],"spatial":[93],"twist":[94],"equivalence,":[95],"independent":[96],"semantics.":[98],"In":[99],"paper,":[101],"contribute":[103],"(1)":[104],"MotionBit":[106],"definition,":[109],"(2)":[110],"hand-labeled":[112],"benchmark,":[113],"called":[114],"MoRiBo,":[115],"evaluating":[117],"rigid-body":[119],"across":[121],"manipulation":[123,163],"human-in-the-wild":[125],"videos,":[126],"(3)":[128],"learning-free":[130],"graph-based":[131],"MotionBits":[132,156],"method":[134],"that":[135],"outperforms":[136],"state-of-the-art":[137],"perception":[139],"methods":[140],"by":[141],"37.3\\%":[142],"macro-averaged":[144],"mIoU":[145],"MoRiBo":[148],"benchmark.":[149],"Finally,":[150],"demonstrate":[152],"effectiveness":[154],"downstream":[159],"tasks,":[164],"highlighting":[165],"its":[166],"importance":[167],"as":[168],"primitive":[171],"physical":[174],"interactions.":[175]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2026-03-11T00:00:00"}