{"id":"https://openalex.org/W2898097011","doi":"https://doi.org/10.1109/tcsvt.2017.2781738","title":"A Stochastic Attribute Grammar for Robust Cross-View Human Tracking","display_name":"A Stochastic Attribute Grammar for Robust Cross-View Human Tracking","publication_year":2017,"publication_date":"2017-12-11","ids":{"openalex":"https://openalex.org/W2898097011","doi":"https://doi.org/10.1109/tcsvt.2017.2781738","mag":"2898097011"},"language":"en","primary_location":{"id":"doi:10.1109/tcsvt.2017.2781738","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcsvt.2017.2781738","pdf_url":null,"source":{"id":"https://openalex.org/S115173108","display_name":"IEEE Transactions on Circuits and Systems for Video Technology","issn_l":"1051-8215","issn":["1051-8215","1558-2205"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Circuits and Systems for Video Technology","raw_type":"journal-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/A5076498350","display_name":"Xiaobai Liu","orcid":"https://orcid.org/0000-0002-2086-5410"},"institutions":[{"id":"https://openalex.org/I26538001","display_name":"San Diego State University","ror":"https://ror.org/0264fdx42","country_code":"US","type":"education","lineage":["https://openalex.org/I26538001"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Xiaobai Liu","raw_affiliation_strings":["Department of Computer Science, San Diego State University, San Diego, CA, USA"],"raw_orcid":"https://orcid.org/0000-0002-2086-5410","affiliations":[{"raw_affiliation_string":"Department of Computer Science, San Diego State University, San Diego, CA, USA","institution_ids":["https://openalex.org/I26538001"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005665145","display_name":"Yuanlu Xu","orcid":"https://orcid.org/0000-0002-7095-1018"},"institutions":[{"id":"https://openalex.org/I161318765","display_name":"University of California, Los Angeles","ror":"https://ror.org/046rm7j60","country_code":"US","type":"education","lineage":["https://openalex.org/I161318765"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yuanlu Xu","raw_affiliation_strings":["Department of Computer Science, University of California at Los Angeles, Los Angeles, CA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of California at Los Angeles, Los Angeles, CA, USA","institution_ids":["https://openalex.org/I161318765"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108048954","display_name":"Lei Zhu","orcid":"https://orcid.org/0000-0002-2993-7142"},"institutions":[{"id":"https://openalex.org/I28006308","display_name":"Shandong Normal University","ror":"https://ror.org/01wy3h363","country_code":"CN","type":"education","lineage":["https://openalex.org/I28006308"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lei Zhu","raw_affiliation_strings":["School of Information Science and Engineering, Shandong Normal University, Jinan, China"],"raw_orcid":"https://orcid.org/0000-0002-2993-7142","affiliations":[{"raw_affiliation_string":"School of Information Science and Engineering, Shandong Normal University, Jinan, China","institution_ids":["https://openalex.org/I28006308"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5028877572","display_name":"Yadong Mu","orcid":"https://orcid.org/0000-0001-7815-3750"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yadong Mu","raw_affiliation_strings":["Institute of Computer Science and Technology, Peking University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0001-7815-3750","affiliations":[{"raw_affiliation_string":"Institute of Computer Science and Technology, Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.8117,"has_fulltext":false,"cited_by_count":20,"citation_normalized_percentile":{"value":0.82893008,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"28","issue":"10","first_page":"2884","last_page":"2895"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":1.0,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":1.0,"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/T10812","display_name":"Human Pose and Action Recognition","score":0.9988999962806702,"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/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.9868000149726868,"subfield":{"id":"https://openalex.org/subfields/2203","display_name":"Automotive 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/discriminative-model","display_name":"Discriminative model","score":0.8889684081077576},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.800186038017273},{"id":"https://openalex.org/keywords/parsing","display_name":"Parsing","score":0.734797477722168},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6583898067474365},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5614038705825806},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4838370382785797},{"id":"https://openalex.org/keywords/grammar","display_name":"Grammar","score":0.4479774236679077},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4242526590824127},{"id":"https://openalex.org/keywords/node","display_name":"Node (physics)","score":0.4188445508480072},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.40951478481292725},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.38612401485443115},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.3343011736869812},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.2262728214263916}],"concepts":[{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.8889684081077576},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.800186038017273},{"id":"https://openalex.org/C186644900","wikidata":"https://www.wikidata.org/wiki/Q194152","display_name":"Parsing","level":2,"score":0.734797477722168},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6583898067474365},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5614038705825806},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4838370382785797},{"id":"https://openalex.org/C26022165","wikidata":"https://www.wikidata.org/wiki/Q8091","display_name":"Grammar","level":2,"score":0.4479774236679077},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4242526590824127},{"id":"https://openalex.org/C62611344","wikidata":"https://www.wikidata.org/wiki/Q1062658","display_name":"Node (physics)","level":2,"score":0.4188445508480072},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.40951478481292725},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.38612401485443115},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.3343011736869812},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.2262728214263916},{"id":"https://openalex.org/C66938386","wikidata":"https://www.wikidata.org/wiki/Q633538","display_name":"Structural engineering","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tcsvt.2017.2781738","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcsvt.2017.2781738","pdf_url":null,"source":{"id":"https://openalex.org/S115173108","display_name":"IEEE Transactions on Circuits and Systems for Video Technology","issn_l":"1051-8215","issn":["1051-8215","1558-2205"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Circuits and Systems for Video Technology","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities","score":0.699999988079071}],"awards":[{"id":"https://openalex.org/G2492716755","display_name":null,"funder_award_id":"61772037","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5161668544","display_name":"CRII: RI: Reasoning Geometric Commonsense for 3D Image/Video Parsing","funder_award_id":"1657600","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":68,"referenced_works":["https://openalex.org/W639708223","https://openalex.org/W1506491340","https://openalex.org/W1539154803","https://openalex.org/W1566724908","https://openalex.org/W1857884451","https://openalex.org/W1912967058","https://openalex.org/W1980262257","https://openalex.org/W1987389530","https://openalex.org/W1995903777","https://openalex.org/W1997310483","https://openalex.org/W2004972618","https://openalex.org/W2013366982","https://openalex.org/W2016135469","https://openalex.org/W2020762599","https://openalex.org/W2035153336","https://openalex.org/W2041875597","https://openalex.org/W2051588547","https://openalex.org/W2053744956","https://openalex.org/W2061565186","https://openalex.org/W2082716591","https://openalex.org/W2089961441","https://openalex.org/W2098669323","https://openalex.org/W2102734144","https://openalex.org/W2102772283","https://openalex.org/W2106110775","https://openalex.org/W2108215708","https://openalex.org/W2108788743","https://openalex.org/W2111644456","https://openalex.org/W2116137332","https://openalex.org/W2118097920","https://openalex.org/W2120272360","https://openalex.org/W2121332494","https://openalex.org/W2124541566","https://openalex.org/W2124688298","https://openalex.org/W2130258433","https://openalex.org/W2134529534","https://openalex.org/W2134809020","https://openalex.org/W2145307410","https://openalex.org/W2151646056","https://openalex.org/W2153185908","https://openalex.org/W2155893237","https://openalex.org/W2156137575","https://openalex.org/W2158634074","https://openalex.org/W2161481633","https://openalex.org/W2171243491","https://openalex.org/W2201681750","https://openalex.org/W2416798379","https://openalex.org/W2473532709","https://openalex.org/W2537515364","https://openalex.org/W2566899507","https://openalex.org/W2604234451","https://openalex.org/W2613718673","https://openalex.org/W2919115771","https://openalex.org/W3101705353","https://openalex.org/W4238816640","https://openalex.org/W6620707391","https://openalex.org/W6633795708","https://openalex.org/W6645566449","https://openalex.org/W6651815360","https://openalex.org/W6659566489","https://openalex.org/W6666044011","https://openalex.org/W6671412226","https://openalex.org/W6677531546","https://openalex.org/W6677907805","https://openalex.org/W6682473505","https://openalex.org/W6729161146","https://openalex.org/W6731375317","https://openalex.org/W6735927914"],"related_works":["https://openalex.org/W2965546495","https://openalex.org/W4389116644","https://openalex.org/W2153315159","https://openalex.org/W3103844505","https://openalex.org/W259157601","https://openalex.org/W4205463238","https://openalex.org/W2110523656","https://openalex.org/W1482209366","https://openalex.org/W2521627374","https://openalex.org/W2981954115"],"abstract_inverted_index":{"In":[0,187],"computer":[1],"vision,":[2],"tracking":[3,215,312],"humans":[4,38],"across":[5,39,185],"camera":[6,40,289],"views":[7],"remain":[8],"challenging,":[9],"especially":[10],"for":[11,54,61,223],"complex":[12],"scenarios":[13],"with":[14,143,285,302],"frequent":[15],"occlusions,":[16],"significant":[17,286],"lighting":[18],"changes,":[19],"and":[20,29,57,83,90,113,139,153,162,250,263,300],"other":[21],"difficulties.":[22],"Under":[23],"such":[24],"conditions,":[25],"most":[26,219],"existing":[27],"appearance":[28,173],"geometric":[30],"cues":[31],"are":[32,195],"not":[33],"reliable":[34],"enough":[35],"to":[36,72,79,122,172,233,266,283],"distinguish":[37],"views.":[41],"To":[42,244],"address":[43],"these":[44],"challenges,":[45],"this":[46,235],"paper":[47],"presents":[48],"a":[49,74,81,96,117,124,130,144,192,230],"stochastic":[50],"attribute":[51,236],"grammar":[52,120,237],"model":[53,238],"leveraging":[55],"complementary":[56],"discriminative":[58,220],"human":[59,107,110,137,182,214],"attributes":[60,165,190],"enhancing":[62],"cross-view":[63,213],"tracking.":[64],"The":[65],"key":[66],"idea":[67],"of":[68,103,119,132,146,181,191,278,288],"our":[69,306],"method":[70,232,258,295,307],"is":[71],"introduce":[73],"hierarchical":[75,97],"representation,":[76,99],"parse":[77,208,221,248],"graph,":[78],"describe":[80],"subject":[82,225],"its":[84,198,251],"movement":[85],"trajectory":[86,101],"in":[87,95,170,177,202,226,281],"both":[88,261],"space":[89],"time":[91],"domains.":[92],"These":[93,164],"results":[94],"compositional":[98],"comprising":[100],"entities":[102],"varying":[104],"level,":[105],"including":[106,148],"boxes,":[108,111],"3D":[109,136],"tracklets,":[112],"trajectories.":[114],"We":[115,228,271,291],"use":[116],"set":[118,131,145],"rules":[121],"decompose":[123],"graph":[125,222,249],"node":[126,142,194],"(e.g.,":[127,135,150,156,160,175],"tracklet)":[128],"into":[129],"children":[133,199],"nodes":[134],"boxes),":[138],"augment":[140],"each":[141,224,279],"attributes,":[147,252],"geometry":[149],"moving":[151],"speed":[152],"direction),":[154],"accessories":[155],"bags),":[157],"and/or":[158],"activities":[159],"walking":[161],"running).":[163],"serve":[166],"as":[167,216],"valuable":[168],"cues,":[169],"addition":[171],"features":[174],"colors),":[176],"determining":[178],"the":[179,189,206,218,246,268,275,293,310],"associations":[180],"detection":[183],"boxes":[184],"cameras.":[186],"particular,":[188],"parent":[193],"inherited":[196],"by":[197],"nodes,":[200],"resulting":[201],"consistency":[203],"constraints":[204],"over":[205,296],"feasible":[207],"graph.":[209],"Thus,":[210],"we":[211,253],"cast":[212],"finding":[217],"videos.":[227],"develop":[229,254],"learning":[231],"train":[234],"from":[239],"weakly":[240],"supervised":[241],"training":[242],"data.":[243],"infer":[245],"optimal":[247,269],"an":[255],"alternative":[256],"parsing":[257],"that":[259,305],"employs":[260],"top-down":[262],"bottom-up":[264],"computations":[265],"search":[267],"solution.":[270],"also":[272],"explicitly":[273],"reason":[274],"occlusion":[276],"status":[277],"entity":[280],"order":[282],"deal":[284],"changes":[287],"viewpoints.":[290],"evaluate":[292],"proposed":[294],"public":[297],"video":[298],"benchmarks,":[299],"demonstrate":[301],"extensive":[303],"experiments":[304],"clearly":[308],"outperforms":[309],"state-of-the-art":[311],"methods.":[313]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":5},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":5},{"year":2018,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
