{"id":"https://openalex.org/W2958801666","doi":"https://doi.org/10.23919/mva.2019.8757921","title":"3D Object Trajectory Reconstruction using Stereo Matching and Instance Flow based Multiple Object Tracking","display_name":"3D Object Trajectory Reconstruction using Stereo Matching and Instance Flow based Multiple Object Tracking","publication_year":2019,"publication_date":"2019-05-01","ids":{"openalex":"https://openalex.org/W2958801666","doi":"https://doi.org/10.23919/mva.2019.8757921","mag":"2958801666"},"language":"en","primary_location":{"id":"doi:10.23919/mva.2019.8757921","is_oa":false,"landing_page_url":"https://doi.org/10.23919/mva.2019.8757921","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 16th International Conference on Machine Vision Applications (MVA)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"http://publica.fraunhofer.de/documents/N-546284.html","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5069250418","display_name":"Sebastian Bullinger","orcid":"https://orcid.org/0000-0002-1584-5319"},"institutions":[{"id":"https://openalex.org/I4210111500","display_name":"Fraunhofer Institute of Optronics, System Technologies and Image Exploitation","ror":"https://ror.org/01zx97922","country_code":"DE","type":"facility","lineage":["https://openalex.org/I4210111500","https://openalex.org/I4923324"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Sebastian Bullinger","raw_affiliation_strings":["Fraunhofer IOSB, Ettlingen, 76275, Germany"],"affiliations":[{"raw_affiliation_string":"Fraunhofer IOSB, Ettlingen, 76275, Germany","institution_ids":["https://openalex.org/I4210111500"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008037781","display_name":"Christoph Bodensteiner","orcid":"https://orcid.org/0000-0002-5563-3484"},"institutions":[{"id":"https://openalex.org/I4210111500","display_name":"Fraunhofer Institute of Optronics, System Technologies and Image Exploitation","ror":"https://ror.org/01zx97922","country_code":"DE","type":"facility","lineage":["https://openalex.org/I4210111500","https://openalex.org/I4923324"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Christoph Bodensteiner","raw_affiliation_strings":["Fraunhofer IOSB, Ettlingen, 76275, Germany"],"affiliations":[{"raw_affiliation_string":"Fraunhofer IOSB, Ettlingen, 76275, Germany","institution_ids":["https://openalex.org/I4210111500"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5000041406","display_name":"Michael Arens","orcid":"https://orcid.org/0000-0002-7857-0332"},"institutions":[{"id":"https://openalex.org/I4210111500","display_name":"Fraunhofer Institute of Optronics, System Technologies and Image Exploitation","ror":"https://ror.org/01zx97922","country_code":"DE","type":"facility","lineage":["https://openalex.org/I4210111500","https://openalex.org/I4923324"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Michael Arens","raw_affiliation_strings":["Fraunhofer IOSB, Ettlingen, 76275, Germany"],"affiliations":[{"raw_affiliation_string":"Fraunhofer IOSB, Ettlingen, 76275, Germany","institution_ids":["https://openalex.org/I4210111500"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5069250418"],"corresponding_institution_ids":["https://openalex.org/I4210111500"],"apc_list":null,"apc_paid":null,"fwci":0.3067,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.60172792,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"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":0.9994999766349792,"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":0.9983000159263611,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.8770855069160461},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.8645068407058716},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6820325255393982},{"id":"https://openalex.org/keywords/optical-flow","display_name":"Optical flow","score":0.6037705540657043},{"id":"https://openalex.org/keywords/trajectory","display_name":"Trajectory","score":0.5664364099502563},{"id":"https://openalex.org/keywords/point-cloud","display_name":"Point cloud","score":0.558809757232666},{"id":"https://openalex.org/keywords/structure-from-motion","display_name":"Structure from motion","score":0.5307842493057251},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.5046340227127075},{"id":"https://openalex.org/keywords/video-tracking","display_name":"Video tracking","score":0.5019433498382568},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.457429975271225},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.45170462131500244},{"id":"https://openalex.org/keywords/bundle-adjustment","display_name":"Bundle adjustment","score":0.450214684009552},{"id":"https://openalex.org/keywords/stereopsis","display_name":"Stereopsis","score":0.4409494996070862},{"id":"https://openalex.org/keywords/iterative-reconstruction","display_name":"Iterative reconstruction","score":0.4272989332675934},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.4247113764286041},{"id":"https://openalex.org/keywords/monocular","display_name":"Monocular","score":0.41291341185569763},{"id":"https://openalex.org/keywords/motion","display_name":"Motion (physics)","score":0.3106076121330261},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.26645082235336304},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2241564393043518}],"concepts":[{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.8770855069160461},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.8645068407058716},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6820325255393982},{"id":"https://openalex.org/C155542232","wikidata":"https://www.wikidata.org/wiki/Q736111","display_name":"Optical flow","level":3,"score":0.6037705540657043},{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.5664364099502563},{"id":"https://openalex.org/C131979681","wikidata":"https://www.wikidata.org/wiki/Q1899648","display_name":"Point cloud","level":2,"score":0.558809757232666},{"id":"https://openalex.org/C146159030","wikidata":"https://www.wikidata.org/wiki/Q7625099","display_name":"Structure from motion","level":3,"score":0.5307842493057251},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.5046340227127075},{"id":"https://openalex.org/C202474056","wikidata":"https://www.wikidata.org/wiki/Q1931635","display_name":"Video tracking","level":3,"score":0.5019433498382568},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.457429975271225},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.45170462131500244},{"id":"https://openalex.org/C179458375","wikidata":"https://www.wikidata.org/wiki/Q1020763","display_name":"Bundle adjustment","level":3,"score":0.450214684009552},{"id":"https://openalex.org/C68537008","wikidata":"https://www.wikidata.org/wiki/Q247932","display_name":"Stereopsis","level":2,"score":0.4409494996070862},{"id":"https://openalex.org/C141379421","wikidata":"https://www.wikidata.org/wiki/Q6094427","display_name":"Iterative reconstruction","level":2,"score":0.4272989332675934},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.4247113764286041},{"id":"https://openalex.org/C65909025","wikidata":"https://www.wikidata.org/wiki/Q1945033","display_name":"Monocular","level":2,"score":0.41291341185569763},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.3106076121330261},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.26645082235336304},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2241564393043518},{"id":"https://openalex.org/C1276947","wikidata":"https://www.wikidata.org/wiki/Q333","display_name":"Astronomy","level":1,"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/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"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/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.23919/mva.2019.8757921","is_oa":false,"landing_page_url":"https://doi.org/10.23919/mva.2019.8757921","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 16th International Conference on Machine Vision Applications (MVA)","raw_type":"proceedings-article"},{"id":"pmh:oai:fraunhofer.de:N-546284","is_oa":true,"landing_page_url":"http://publica.fraunhofer.de/documents/N-546284.html","pdf_url":null,"source":{"id":"https://openalex.org/S4306400318","display_name":"Fraunhofer-Publica (Fraunhofer-Gesellschaft)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4923324","host_organization_name":"Fraunhofer-Gesellschaft","host_organization_lineage":["https://openalex.org/I4923324"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Fraunhofer IOSB","raw_type":"Conference Paper"}],"best_oa_location":{"id":"pmh:oai:fraunhofer.de:N-546284","is_oa":true,"landing_page_url":"http://publica.fraunhofer.de/documents/N-546284.html","pdf_url":null,"source":{"id":"https://openalex.org/S4306400318","display_name":"Fraunhofer-Publica (Fraunhofer-Gesellschaft)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4923324","host_organization_name":"Fraunhofer-Gesellschaft","host_organization_lineage":["https://openalex.org/I4923324"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Fraunhofer IOSB","raw_type":"Conference Paper"},"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","score":0.8399999737739563,"id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W55377555","https://openalex.org/W1912649600","https://openalex.org/W2020045638","https://openalex.org/W2034869517","https://openalex.org/W2083931353","https://openalex.org/W2104974755","https://openalex.org/W2115579991","https://openalex.org/W2117248802","https://openalex.org/W2128019145","https://openalex.org/W2170242641","https://openalex.org/W2184393491","https://openalex.org/W2340897893","https://openalex.org/W2441099548","https://openalex.org/W2471962767","https://openalex.org/W2592253736","https://openalex.org/W2739013603","https://openalex.org/W2806553072","https://openalex.org/W2895714354","https://openalex.org/W2903772787","https://openalex.org/W2963150697","https://openalex.org/W2963496125","https://openalex.org/W2963619659","https://openalex.org/W3106025793","https://openalex.org/W3199643754","https://openalex.org/W6640185247","https://openalex.org/W6686211706","https://openalex.org/W6718625422","https://openalex.org/W6752162429","https://openalex.org/W6786230959"],"related_works":["https://openalex.org/W2143255850","https://openalex.org/W2839563014","https://openalex.org/W2012027880","https://openalex.org/W2062505954","https://openalex.org/W2098727459","https://openalex.org/W2025391311","https://openalex.org/W2325882690","https://openalex.org/W2081594369","https://openalex.org/W2080629029","https://openalex.org/W1651756006","https://openalex.org/W412234983","https://openalex.org/W3089680260","https://openalex.org/W2541464020","https://openalex.org/W157468526","https://openalex.org/W2037281355","https://openalex.org/W1972818405","https://openalex.org/W2008723271","https://openalex.org/W2993727312","https://openalex.org/W2102124058","https://openalex.org/W1952095593"],"abstract_inverted_index":{"This":[0,50],"paper":[1],"presents":[2],"a":[3,24],"method":[4,123],"to":[5,19,27,53,78],"reconstruct":[6],"three-dimensional":[7],"object":[8,45,59,64,93],"motion":[9],"trajectories":[10,85],"in":[11,105,135],"stereo":[12,17,25],"video":[13],"sequences.":[14],"We":[15,81,110,139],"apply":[16],"matching":[18],"each":[20,56,97],"image":[21,98],"pair":[22,58,99],"of":[23,96,133,145],"sequence":[26],"compute":[28,73],"corresponding":[29,63,101],"binocular":[30],"disparities.":[31],"By":[32,66],"combining":[33,91],"instance-aware":[34],"semantic":[35],"segmentation":[36],"techniques":[37],"and":[38,62,117,120],"optical":[39],"flow":[40],"cues,":[41],"we":[42,72],"track":[43],"two-dimensional":[44],"shapes":[46],"on":[47,114,130],"pixel":[48],"level.":[49],"allows":[51],"us":[52],"determine":[54],"for":[55],"frame":[57],"specific":[60],"disparities":[61],"points.":[65],"applying":[67],"Structure":[68],"from":[69],"Motion":[70],"(SfM)":[71],"camera":[74,102],"poses":[75,103],"with":[76,100,125],"respect":[77],"background":[79,107],"structures.":[80],"embed":[82],"the":[83,87,92,106,115],"vehicle":[84],"into":[86],"environment":[88],"reconstruction":[89],"by":[90],"point":[94],"cloud":[95],"contained":[104],"SfM":[108],"reconstruction.":[109],"show":[111],"qualitative":[112],"results":[113],"KITTI":[116],"CityScapes":[118],"dataset":[119],"compare":[121],"our":[122],"quantitatively":[124],"previously":[126],"published":[127],"monocular":[128],"approaches":[129],"synthetic":[131],"data":[132],"vehicles":[134],"an":[136,141],"urban":[137],"environment.":[138],"achieve":[140],"average":[142],"trajectory":[143],"error":[144],"0.11":[146],"meter.":[147]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}
