{"id":"https://openalex.org/W4361793655","doi":"https://doi.org/10.1145/3582197.3582208","title":"A Passive Optical Motion Capture Method towards Occlusion Conditions Based on Multi-vision System","display_name":"A Passive Optical Motion Capture Method towards Occlusion Conditions Based on Multi-vision System","publication_year":2022,"publication_date":"2022-12-23","ids":{"openalex":"https://openalex.org/W4361793655","doi":"https://doi.org/10.1145/3582197.3582208"},"language":"en","primary_location":{"id":"doi:10.1145/3582197.3582208","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3582197.3582208","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3582197.3582208","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2022 10th International Conference on Information Technology: IoT and Smart City","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3582197.3582208","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100408459","display_name":"Yixuan Wang","orcid":"https://orcid.org/0000-0002-1417-0735"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yixuan Wang","raw_affiliation_strings":["School of Sensing Science and Engineering, Shanghai Jiao Tong University, China"],"raw_orcid":"https://orcid.org/0000-0002-1417-0735","affiliations":[{"raw_affiliation_string":"School of Sensing Science and Engineering, Shanghai Jiao Tong University, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101815141","display_name":"Wei Tao","orcid":"https://orcid.org/0000-0002-6409-8858"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Tao","raw_affiliation_strings":["School of Sensing Science and Engineering, Shanghai Jiao Tong University, China"],"raw_orcid":"https://orcid.org/0000-0002-6409-8858","affiliations":[{"raw_affiliation_string":"School of Sensing Science and Engineering, Shanghai Jiao Tong University, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034160028","display_name":"Zhuojiang Nan","orcid":"https://orcid.org/0000-0002-4977-2277"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhuojiang Nan","raw_affiliation_strings":["School of Sensing Science and Engineering, Shanghai Jiao Tong University, China"],"raw_orcid":"https://orcid.org/0000-0002-4977-2277","affiliations":[{"raw_affiliation_string":"School of Sensing Science and Engineering, Shanghai Jiao Tong University, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5060451653","display_name":"Yujia Fu","orcid":"https://orcid.org/0000-0002-6152-2115"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yujia Fu","raw_affiliation_strings":["School of Sensing Science and Engineering, Shanghai Jiao Tong University, China"],"raw_orcid":"https://orcid.org/0000-0002-6152-2115","affiliations":[{"raw_affiliation_string":"School of Sensing Science and Engineering, Shanghai Jiao Tong University, China","institution_ids":["https://openalex.org/I183067930"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I183067930"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.23566438,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"67","last_page":"73"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","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"}},"topics":[{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","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/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9991000294685364,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace 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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.992900013923645,"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/computer-vision","display_name":"Computer vision","score":0.8310307264328003},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7849018573760986},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7108045816421509},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.6272896528244019},{"id":"https://openalex.org/keywords/monocular-vision","display_name":"Monocular vision","score":0.5779681205749512},{"id":"https://openalex.org/keywords/kalman-filter","display_name":"Kalman filter","score":0.5726625919342041},{"id":"https://openalex.org/keywords/motion-capture","display_name":"Motion capture","score":0.5610238909721375},{"id":"https://openalex.org/keywords/monocular","display_name":"Monocular","score":0.5526712536811829},{"id":"https://openalex.org/keywords/motion-estimation","display_name":"Motion estimation","score":0.47107186913490295},{"id":"https://openalex.org/keywords/pose","display_name":"Pose","score":0.42789626121520996},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4250905513763428},{"id":"https://openalex.org/keywords/adaptive-optics","display_name":"Adaptive optics","score":0.4199076294898987},{"id":"https://openalex.org/keywords/a-priori-and-a-posteriori","display_name":"A priori and a posteriori","score":0.4127127528190613},{"id":"https://openalex.org/keywords/motion","display_name":"Motion (physics)","score":0.3299356698989868}],"concepts":[{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.8310307264328003},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7849018573760986},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7108045816421509},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.6272896528244019},{"id":"https://openalex.org/C158829959","wikidata":"https://www.wikidata.org/wiki/Q1640606","display_name":"Monocular vision","level":2,"score":0.5779681205749512},{"id":"https://openalex.org/C157286648","wikidata":"https://www.wikidata.org/wiki/Q846780","display_name":"Kalman filter","level":2,"score":0.5726625919342041},{"id":"https://openalex.org/C48007421","wikidata":"https://www.wikidata.org/wiki/Q676252","display_name":"Motion capture","level":3,"score":0.5610238909721375},{"id":"https://openalex.org/C65909025","wikidata":"https://www.wikidata.org/wiki/Q1945033","display_name":"Monocular","level":2,"score":0.5526712536811829},{"id":"https://openalex.org/C10161872","wikidata":"https://www.wikidata.org/wiki/Q557891","display_name":"Motion estimation","level":2,"score":0.47107186913490295},{"id":"https://openalex.org/C52102323","wikidata":"https://www.wikidata.org/wiki/Q1671968","display_name":"Pose","level":2,"score":0.42789626121520996},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4250905513763428},{"id":"https://openalex.org/C132771110","wikidata":"https://www.wikidata.org/wiki/Q506922","display_name":"Adaptive optics","level":2,"score":0.4199076294898987},{"id":"https://openalex.org/C75553542","wikidata":"https://www.wikidata.org/wiki/Q178161","display_name":"A priori and a posteriori","level":2,"score":0.4127127528190613},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.3299356698989868},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","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/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C1276947","wikidata":"https://www.wikidata.org/wiki/Q333","display_name":"Astronomy","level":1,"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/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3582197.3582208","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3582197.3582208","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3582197.3582208","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2022 10th International Conference on Information Technology: IoT and Smart City","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3582197.3582208","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3582197.3582208","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3582197.3582208","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2022 10th International Conference on Information Technology: IoT and Smart City","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4361793655.pdf","grobid_xml":"https://content.openalex.org/works/W4361793655.grobid-xml"},"referenced_works_count":24,"referenced_works":["https://openalex.org/W794239199","https://openalex.org/W1220147255","https://openalex.org/W1221860933","https://openalex.org/W1991544872","https://openalex.org/W2042678181","https://openalex.org/W2097649661","https://openalex.org/W2106627486","https://openalex.org/W2145834063","https://openalex.org/W2255314003","https://openalex.org/W2378618076","https://openalex.org/W2472557795","https://openalex.org/W2615354983","https://openalex.org/W2761438480","https://openalex.org/W2782405215","https://openalex.org/W2801850762","https://openalex.org/W2969218386","https://openalex.org/W2981865705","https://openalex.org/W3040145264","https://openalex.org/W3091816019","https://openalex.org/W3153274399","https://openalex.org/W3208137639","https://openalex.org/W3208350455","https://openalex.org/W4289550269","https://openalex.org/W6676029824"],"related_works":["https://openalex.org/W3213997683","https://openalex.org/W4307623796","https://openalex.org/W2995270189","https://openalex.org/W4394784820","https://openalex.org/W2084124712","https://openalex.org/W2435467664","https://openalex.org/W2091635186","https://openalex.org/W4381188157","https://openalex.org/W4251947321","https://openalex.org/W2011626633"],"abstract_inverted_index":{"When":[0],"using":[1],"passive":[2,54],"optical":[3,55],"motion":[4,14,56,127,159],"capture":[5,57,128],"technology":[6],"to":[7,21,36,80,103,120],"measure":[8],"the":[9,18,27,30,37,44,47,74,84,89,92,108,123,126,138,146,154,157,168,173],"6":[10],"degree":[11],"of":[12,15,46,76,83,91,125,133,156,172],"freedom(6-DoF)":[13],"mobile":[16],"robots,":[17],"target":[19],"attached":[20],"it":[22],"may":[23],"be":[24],"obscured":[25],"by":[26,73],"obstacles":[28],"in":[29,116],"environment.":[31],"The":[32,68,130,165],"occlusion":[33,163],"will":[34],"lead":[35],"marker":[38],"points":[39],"missing":[40],"and":[41,63,87,145,170],"further":[42,121],"affect":[43],"accuracy":[45],"pose":[48],"estimation.":[49,106],"In":[50],"this":[51],"paper,":[52],"a":[53,117],"method":[58],"based":[59],"on":[60],"feature":[61,69],"reconstruction":[62,70],"state":[64,105],"estimation":[65],"is":[66,71,101,114,143,151],"proposed.":[67],"conducted":[72],"means":[75],"monocular":[77],"EPnP":[78],"algorithm":[79],"make":[81],"use":[82],"priori":[85],"information":[86,109],"keep":[88],"dimensions":[90],"observations":[93],"constant.":[94],"Then":[95],"an":[96],"adaptive":[97],"unscented":[98],"Kalman":[99],"filter(UKF)":[100],"adopted":[102],"accomplish":[104],"Finally":[107],"from":[110],"different":[111],"binocular":[112],"systems":[113],"fused":[115],"multi-vision":[118],"system":[119,135],"improve":[122],"robustness":[124],"system.":[129],"measurement":[131,155],"results":[132,166],"our":[134],"show":[136],"that":[137],"average":[139,147],"absolute":[140,148],"position":[141],"error":[142,150],"7.892mm":[144],"attitude":[149],"1.395\u00b0":[152],"during":[153],"6-DoF":[158],"under":[160],"some":[161],"severe":[162],"conditions.":[164],"demonstrate":[167],"effectiveness":[169],"augmentability":[171],"proposed":[174],"method.":[175]},"counts_by_year":[],"updated_date":"2026-07-31T08:31:51.225901","created_date":"2025-10-10T00:00:00"}
