{"id":"https://openalex.org/W2772188442","doi":"https://doi.org/10.1109/mmsp.2017.8122256","title":"Adaptive ground plane estimation for moving camera-based 3D object tracking","display_name":"Adaptive ground plane estimation for moving camera-based 3D object tracking","publication_year":2017,"publication_date":"2017-10-01","ids":{"openalex":"https://openalex.org/W2772188442","doi":"https://doi.org/10.1109/mmsp.2017.8122256","mag":"2772188442"},"language":"en","primary_location":{"id":"doi:10.1109/mmsp.2017.8122256","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mmsp.2017.8122256","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE 19th International Workshop on Multimedia Signal Processing (MMSP)","raw_type":"proceedings-article"},"type":"article","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/A5100716705","display_name":"Tao Liu","orcid":"https://orcid.org/0000-0002-3672-3599"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Tao Liu","raw_affiliation_strings":["Department of Information and Communication Engineering, Beijing University of Post and Telecommunications, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Department of Information and Communication Engineering, Beijing University of Post and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100659487","display_name":"Yong Liu","orcid":"https://orcid.org/0000-0002-1862-3121"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yong Liu","raw_affiliation_strings":["Department of Information and Communication Engineering, Beijing University of Post and Telecommunications, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Department of Information and Communication Engineering, Beijing University of Post and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029572318","display_name":"Zheng Tang","orcid":"https://orcid.org/0000-0002-3744-2254"},"institutions":[{"id":"https://openalex.org/I201448701","display_name":"University of Washington","ror":"https://ror.org/00cvxb145","country_code":"US","type":"education","lineage":["https://openalex.org/I201448701"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Zheng Tang","raw_affiliation_strings":["Department of Electrical Engineering, University of Washington, Seattle, WA, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, University of Washington, Seattle, WA, USA","institution_ids":["https://openalex.org/I201448701"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101702810","display_name":"Jenq\u2013Neng Hwang","orcid":"https://orcid.org/0000-0002-8877-2421"},"institutions":[{"id":"https://openalex.org/I201448701","display_name":"University of Washington","ror":"https://ror.org/00cvxb145","country_code":"US","type":"education","lineage":["https://openalex.org/I201448701"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jenq-Neng Hwang","raw_affiliation_strings":["Department of Electrical Engineering, University of Washington, Seattle, WA, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, University of Washington, Seattle, WA, USA","institution_ids":["https://openalex.org/I201448701"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5100716705"],"corresponding_institution_ids":["https://openalex.org/I139759216"],"apc_list":null,"apc_paid":null,"fwci":2.7219,"has_fulltext":false,"cited_by_count":16,"citation_normalized_percentile":{"value":0.91116671,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"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/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9998999834060669,"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"}},"topics":[{"id":"https://openalex.org/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9998999834060669,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.9993000030517578,"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":0.9991000294685364,"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":0.8556112051010132},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.8081223964691162},{"id":"https://openalex.org/keywords/ground-plane","display_name":"Ground plane","score":0.7247949838638306},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7195150852203369},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.6151612401008606},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.550774872303009},{"id":"https://openalex.org/keywords/tracking-system","display_name":"Tracking system","score":0.4771406352519989},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.44852936267852783},{"id":"https://openalex.org/keywords/monocular","display_name":"Monocular","score":0.44821280241012573},{"id":"https://openalex.org/keywords/image-plane","display_name":"Image plane","score":0.4398385286331177},{"id":"https://openalex.org/keywords/kalman-filter","display_name":"Kalman filter","score":0.1576330065727234},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.14597651362419128},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.13788828253746033}],"concepts":[{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.8556112051010132},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.8081223964691162},{"id":"https://openalex.org/C88764893","wikidata":"https://www.wikidata.org/wiki/Q1547722","display_name":"Ground plane","level":3,"score":0.7247949838638306},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7195150852203369},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.6151612401008606},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.550774872303009},{"id":"https://openalex.org/C154586513","wikidata":"https://www.wikidata.org/wiki/Q4420972","display_name":"Tracking system","level":3,"score":0.4771406352519989},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.44852936267852783},{"id":"https://openalex.org/C65909025","wikidata":"https://www.wikidata.org/wiki/Q1945033","display_name":"Monocular","level":2,"score":0.44821280241012573},{"id":"https://openalex.org/C120515352","wikidata":"https://www.wikidata.org/wiki/Q2564580","display_name":"Image plane","level":3,"score":0.4398385286331177},{"id":"https://openalex.org/C157286648","wikidata":"https://www.wikidata.org/wiki/Q846780","display_name":"Kalman filter","level":2,"score":0.1576330065727234},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.14597651362419128},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.13788828253746033},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","level":1,"score":0.0},{"id":"https://openalex.org/C21822782","wikidata":"https://www.wikidata.org/wiki/Q131214","display_name":"Antenna (radio)","level":2,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/mmsp.2017.8122256","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mmsp.2017.8122256","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE 19th International Workshop on Multimedia Signal Processing (MMSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6499999761581421,"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":43,"referenced_works":["https://openalex.org/W1519594923","https://openalex.org/W1536680647","https://openalex.org/W1964344553","https://openalex.org/W1965705366","https://openalex.org/W1972725010","https://openalex.org/W2005855867","https://openalex.org/W2020045638","https://openalex.org/W2036470408","https://openalex.org/W2039313011","https://openalex.org/W2046434485","https://openalex.org/W2047992402","https://openalex.org/W2055366607","https://openalex.org/W2074359627","https://openalex.org/W2096488248","https://openalex.org/W2096846396","https://openalex.org/W2096901547","https://openalex.org/W2105723449","https://openalex.org/W2111644456","https://openalex.org/W2128086777","https://openalex.org/W2131628350","https://openalex.org/W2136590930","https://openalex.org/W2140062636","https://openalex.org/W2145804667","https://openalex.org/W2150066425","https://openalex.org/W2150183285","https://openalex.org/W2151103935","https://openalex.org/W2155893237","https://openalex.org/W2168356304","https://openalex.org/W2168676389","https://openalex.org/W2170772499","https://openalex.org/W2295018116","https://openalex.org/W2399390562","https://openalex.org/W2400701444","https://openalex.org/W2609786623","https://openalex.org/W2618529757","https://openalex.org/W2750656790","https://openalex.org/W2963037989","https://openalex.org/W6631325901","https://openalex.org/W6660344663","https://openalex.org/W6674573486","https://openalex.org/W6679973066","https://openalex.org/W6681679499","https://openalex.org/W6743631145"],"related_works":["https://openalex.org/W200819717","https://openalex.org/W2032269556","https://openalex.org/W1991834176","https://openalex.org/W2944448661","https://openalex.org/W2064421702","https://openalex.org/W4253756925","https://openalex.org/W2805523177","https://openalex.org/W2131956013","https://openalex.org/W2036566443","https://openalex.org/W2125566825"],"abstract_inverted_index":{"Visual":[0],"simultaneous":[1],"localization":[2],"and":[3,21,34,104,135],"mapping":[4],"(V-SLAM)":[5],"based":[6],"tracking":[7,38,97],"method":[8],"for":[9],"moving":[10,53,70],"cameras":[11],"has":[12],"drawn":[13],"increasing":[14],"attention.":[15],"The":[16,126],"unpredictability":[17],"of":[18,69,87,98],"road":[19],"conditions":[20],"noise":[22],"from":[23,62],"the":[24,37,67,73,85,88,93,105,110,124,136,140],"camera":[25,75],"calibration,":[26],"however,":[27],"make":[28],"conventional":[29],"ground":[30,47,89,107],"plane":[31,48,90,108],"estimation":[32,49],"unreliable":[33],"adversely":[35],"affecting":[36],"result.":[39],"In":[40,56],"this":[41],"paper,":[42],"we":[43,59],"propose":[44],"an":[45],"adaptive":[46],"algorithm":[50],"in":[51,101,123],"a":[52,81],"monocular":[54],"camera.":[55],"our":[57],"algorithm,":[58],"use":[60],"structure":[61],"motion":[63],"(SfM)":[64],"to":[65,83],"estimate":[66],"pose":[68],"camera,":[71],"then":[72],"estimated":[74],"yaw":[76],"angle":[77],"is":[78,129],"used":[79],"as":[80],"feedback":[82],"improve":[84],"accuracy":[86],"estimation.":[91],"Combining":[92],"efficient":[94],"constrained-multiple-kernel":[95],"(CMK)":[96],"video":[99],"objects":[100],"3D":[102],"space":[103],"reliable":[106],"estimation,":[109],"proposed":[111,127],"system":[112,128],"not":[113],"only":[114],"achieves":[115],"high":[116],"effectiveness":[117],"but":[118],"also":[119],"well":[120],"handles":[121],"occlusion":[122],"tracking.":[125],"evaluated":[130],"on":[131],"several":[132],"challenging":[133],"datasets":[134],"experimental":[137],"results":[138],"show":[139],"favorable":[141],"performance.":[142]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}