{"id":"https://openalex.org/W7160659631","doi":"https://doi.org/10.48550/arxiv.2605.05390","title":"LAMP: Localization Aware Multi-camera People Tracking in Metric 3D World","display_name":"LAMP: Localization Aware Multi-camera People Tracking in Metric 3D World","publication_year":2026,"publication_date":"2026-05-06","ids":{"openalex":"https://openalex.org/W7160659631","doi":"https://doi.org/10.48550/arxiv.2605.05390"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2605.05390","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.05390","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2605.05390","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5135655941","display_name":"Nan Yang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yang, Nan","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5082100051","display_name":"Julian Straub","orcid":"https://orcid.org/0000-0003-4544-6332"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Straub, Julian","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5135683747","display_name":"Fan Zhang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhang, Fan","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112393472","display_name":"Richard Newcombe","orcid":"https://orcid.org/0009-0004-9091-8989"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Newcombe, Richard","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041557343","display_name":"Jakob Engel","orcid":"https://orcid.org/0000-0002-2799-5808"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Engel, Jakob","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5135657075","display_name":"Lingni Ma","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ma, Lingni","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"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/T10812","display_name":"Human Pose and Action Recognition","score":0.8399999737739563,"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/T10812","display_name":"Human Pose and Action Recognition","score":0.8399999737739563,"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":0.045099999755620956,"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/T12740","display_name":"Gait Recognition and Analysis","score":0.041999999433755875,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.6468999981880188},{"id":"https://openalex.org/keywords/monocular","display_name":"Monocular","score":0.5250999927520752},{"id":"https://openalex.org/keywords/headset","display_name":"Headset","score":0.45410001277923584},{"id":"https://openalex.org/keywords/observer","display_name":"Observer (physics)","score":0.4108999967575073},{"id":"https://openalex.org/keywords/motion-capture","display_name":"Motion capture","score":0.3849000036716461},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.3691999912261963}],"concepts":[{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.8062999844551086},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7451000213623047},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.698199987411499},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.6468999981880188},{"id":"https://openalex.org/C65909025","wikidata":"https://www.wikidata.org/wiki/Q1945033","display_name":"Monocular","level":2,"score":0.5250999927520752},{"id":"https://openalex.org/C2780657452","wikidata":"https://www.wikidata.org/wiki/Q1193170","display_name":"Headset","level":2,"score":0.45410001277923584},{"id":"https://openalex.org/C2780704645","wikidata":"https://www.wikidata.org/wiki/Q9251458","display_name":"Observer (physics)","level":2,"score":0.4108999967575073},{"id":"https://openalex.org/C48007421","wikidata":"https://www.wikidata.org/wiki/Q676252","display_name":"Motion capture","level":3,"score":0.3849000036716461},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.3691999912261963},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.32249999046325684},{"id":"https://openalex.org/C2986578859","wikidata":"https://www.wikidata.org/wiki/Q657632","display_name":"Human motion","level":3,"score":0.31200000643730164},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.3037000000476837},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.29260000586509705},{"id":"https://openalex.org/C95020103","wikidata":"https://www.wikidata.org/wiki/Q1813492","display_name":"Match moving","level":3,"score":0.2915000021457672},{"id":"https://openalex.org/C102392041","wikidata":"https://www.wikidata.org/wiki/Q592860","display_name":"Sliding window protocol","level":3,"score":0.2526000142097473}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2605.05390","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.05390","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2605.05390","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.05390","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Tracking":[0],"3D":[1,110,120,126],"human":[2,121,140],"motion":[3,91,122,141],"from":[4,100,157],"egocentric":[5,53,180],"multi-camera":[6],"headset":[7],"is":[8],"challenged":[9],"by":[10],"severe":[11],"egomotion,":[12],"partial":[13],"visibility":[14],"or":[15,31],"occlusions":[16],"and":[17,34,40,47,75,92,136,163],"lack":[18],"of":[19,73],"training":[20],"data.":[21],"Existing":[22],"methods":[23],"designed":[24],"for":[25,177],"monocular":[26,171],"video":[27],"often":[28],"require":[29],"static":[30],"slowly-moving":[32],"cameras":[33,102],"cannot":[35],"efficiently":[36],"leverage":[37,85,137],"multi-view,":[38],"calibrated":[39],"localized":[41],"input.":[42],"This":[43,129],"makes":[44],"them":[45],"brittle":[46],"prone":[48],"to":[49,67,94,124,134,153],"fail":[50],"on":[51,170],"dynamic":[52],"captures.":[54],"We":[55],"propose":[56],"LAMP":[57,78,133,166],"(Localization":[58],"Aware":[59],"Multi-camera":[60],"People":[61],"Tracking):":[62],"a":[63,80,104,108,138],"novel,":[64],"simple":[65],"framework":[66,152],"solve":[68],"this":[69,125],"via":[70],"early":[71],"disentanglement":[72],"observer":[74],"target":[76],"motion.":[77],"introduces":[79],"two-step":[81],"process.":[82],"First,":[83],"we":[84],"the":[86,144],"known":[87],"device":[88],"6":[89],"DoF":[90],"calibration":[93],"convert":[95],"detected":[96],"2D":[97],"body":[98],"keypoints":[99],"all":[101],"over":[103],"temporal":[105],"window":[106],"into":[107],"unified":[109],"world":[111],"reference":[112],"frame.":[113],"Second,":[114],"an":[115,150],"end-to-end-trained":[116],"spatio-temporal":[117],"transformer":[118],"fits":[119],"directly":[123],"ray":[127],"cloud.":[128],"\"lift-then-fit\"":[130],"approach":[131],"allows":[132],"learn":[135],"natural":[139],"prior":[142],"in":[143],"world-space,":[145],"as":[146,148],"well":[147],"providing":[149],"elegant":[151],"flexibly":[154],"incorporate":[155],"information":[156],"multiple":[158],"temporally":[159],"asynchronous,":[160],"partially":[161],"observing":[162],"moving":[164],"cameras.":[165],"achieves":[167],"state-of-the-art":[168],"results":[169],"benchmarks,":[172],"while":[173],"significantly":[174],"outperforming":[175],"baselines":[176],"our":[178],"targeted":[179],"setting.":[181]},"counts_by_year":[],"updated_date":"2026-07-01T06:00:48.157686","created_date":"2026-05-09T00:00:00"}