{"id":"https://openalex.org/W2791832816","doi":"https://doi.org/10.1109/vcip.2017.8305032","title":"Fast multi-view people localization using a torso-high reference plane","display_name":"Fast multi-view people localization using a torso-high reference plane","publication_year":2017,"publication_date":"2017-12-01","ids":{"openalex":"https://openalex.org/W2791832816","doi":"https://doi.org/10.1109/vcip.2017.8305032","mag":"2791832816"},"language":"en","primary_location":{"id":"doi:10.1109/vcip.2017.8305032","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vcip.2017.8305032","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE Visual Communications and Image Processing (VCIP)","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/A5085200924","display_name":"Chun-Chieh Hsu","orcid":null},"institutions":[{"id":"https://openalex.org/I148366613","display_name":"National Yang Ming Chiao Tung University","ror":"https://ror.org/00se2k293","country_code":"TW","type":"education","lineage":["https://openalex.org/I148366613"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Chun-Chieh Hsu","raw_affiliation_strings":["Department of Computer Science, National Chiao Tung University, Hsinchu, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, National Chiao Tung University, Hsinchu, Taiwan","institution_ids":["https://openalex.org/I148366613"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065919129","display_name":"Hua-Tsung Chen","orcid":"https://orcid.org/0000-0002-8084-497X"},"institutions":[{"id":"https://openalex.org/I148366613","display_name":"National Yang Ming Chiao Tung University","ror":"https://ror.org/00se2k293","country_code":"TW","type":"education","lineage":["https://openalex.org/I148366613"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Hua-Tsung Chen","raw_affiliation_strings":["Information and Communications Technology Lab, National Chiao Tung University, Hsinchu, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Information and Communications Technology Lab, National Chiao Tung University, Hsinchu, Taiwan","institution_ids":["https://openalex.org/I148366613"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062746436","display_name":"Wen-Jiin Tsai","orcid":"https://orcid.org/0000-0001-9030-5139"},"institutions":[{"id":"https://openalex.org/I148366613","display_name":"National Yang Ming Chiao Tung University","ror":"https://ror.org/00se2k293","country_code":"TW","type":"education","lineage":["https://openalex.org/I148366613"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Wen-Jiin Tsai","raw_affiliation_strings":["Department of Computer Science, National Chiao Tung University, Hsinchu, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, National Chiao Tung University, Hsinchu, Taiwan","institution_ids":["https://openalex.org/I148366613"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5059722804","display_name":"Suh-Yin Lee","orcid":null},"institutions":[{"id":"https://openalex.org/I148366613","display_name":"National Yang Ming Chiao Tung University","ror":"https://ror.org/00se2k293","country_code":"TW","type":"education","lineage":["https://openalex.org/I148366613"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Suh-Yin Lee","raw_affiliation_strings":["Department of Computer Science, National Chiao Tung University, Hsinchu, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, National Chiao Tung University, Hsinchu, Taiwan","institution_ids":["https://openalex.org/I148366613"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I148366613"],"apc_list":null,"apc_paid":null,"fwci":0.0924,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.51938735,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"20","issue":null,"first_page":"1","last_page":"4"},"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":0.9973999857902527,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9957000017166138,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/torso","display_name":"Torso","score":0.921474277973175},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7911256551742554},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6830652952194214},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6038102507591248},{"id":"https://openalex.org/keywords/intersection","display_name":"Intersection (aeronautics)","score":0.5856971740722656},{"id":"https://openalex.org/keywords/scheme","display_name":"Scheme (mathematics)","score":0.5327565670013428},{"id":"https://openalex.org/keywords/gesture","display_name":"Gesture","score":0.5114918947219849},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5110694169998169},{"id":"https://openalex.org/keywords/frame","display_name":"Frame (networking)","score":0.4603687524795532},{"id":"https://openalex.org/keywords/line","display_name":"Line (geometry)","score":0.4504660964012146},{"id":"https://openalex.org/keywords/acceleration","display_name":"Acceleration","score":0.43117833137512207},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.10140421986579895},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.07815197110176086},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.07530057430267334}],"concepts":[{"id":"https://openalex.org/C523889960","wikidata":"https://www.wikidata.org/wiki/Q160695","display_name":"Torso","level":2,"score":0.921474277973175},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7911256551742554},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6830652952194214},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6038102507591248},{"id":"https://openalex.org/C64543145","wikidata":"https://www.wikidata.org/wiki/Q162942","display_name":"Intersection (aeronautics)","level":2,"score":0.5856971740722656},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.5327565670013428},{"id":"https://openalex.org/C207347870","wikidata":"https://www.wikidata.org/wiki/Q371174","display_name":"Gesture","level":2,"score":0.5114918947219849},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5110694169998169},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.4603687524795532},{"id":"https://openalex.org/C198352243","wikidata":"https://www.wikidata.org/wiki/Q37105","display_name":"Line (geometry)","level":2,"score":0.4504660964012146},{"id":"https://openalex.org/C117896860","wikidata":"https://www.wikidata.org/wiki/Q11376","display_name":"Acceleration","level":2,"score":0.43117833137512207},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.10140421986579895},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.07815197110176086},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.07530057430267334},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"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/C74650414","wikidata":"https://www.wikidata.org/wiki/Q11397","display_name":"Classical mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C105702510","wikidata":"https://www.wikidata.org/wiki/Q514","display_name":"Anatomy","level":1,"score":0.0},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/vcip.2017.8305032","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vcip.2017.8305032","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE Visual Communications and Image Processing (VCIP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W1539154803","https://openalex.org/W1897061767","https://openalex.org/W1995903777","https://openalex.org/W2110116545","https://openalex.org/W2110600902","https://openalex.org/W2125147215","https://openalex.org/W2131786818","https://openalex.org/W2162108390","https://openalex.org/W2170296202","https://openalex.org/W4285719527","https://openalex.org/W6639411082","https://openalex.org/W6683758838"],"related_works":["https://openalex.org/W4381953457","https://openalex.org/W2037557144","https://openalex.org/W2285739514","https://openalex.org/W2058088690","https://openalex.org/W2086597735","https://openalex.org/W2052143774","https://openalex.org/W1984495143","https://openalex.org/W4308297792","https://openalex.org/W2158185825","https://openalex.org/W1606408717"],"abstract_inverted_index":{"People":[0],"locations":[1,119,135,151],"bring":[2],"rich":[3],"information":[4],"for":[5],"a":[6,46,85,110,123,159],"wide":[7],"spectrum":[8],"of":[9,109,140,174],"applications":[10],"in":[11,31,45,67,92,178],"intelligent":[12],"video":[13],"surveillance":[14,166],"systems.":[15],"In":[16],"addition":[17],"to":[18,27,42,63,132],"localization":[19,40,58,78],"accuracy,":[20],"computational":[21,64,192],"efficiency":[22],"is":[23,89,100,130],"another":[24],"significant":[25],"issue":[26],"be":[28,43,153],"highly":[29],"concerned":[30],"people":[32,39,57,77,118,134,150,180],"localization.":[33],"As":[34],"an":[35,72,190],"essential":[36],"early":[37],"stage,":[38],"has":[41],"accomplished":[44],"very":[47],"short":[48],"time,":[49],"enabling":[50],"further":[51],"semantic":[52],"analysis.":[53],"However,":[54],"most":[55],"state-of-the-art":[56],"methods":[59],"pay":[60],"little":[61],"attention":[62],"efficiency.":[65],"Hence,":[66],"this":[68],"paper":[69],"we":[70],"propose":[71],"effective":[73],"and":[74,103,113,125,156],"efficient":[75,127],"multi-view":[76,165],"scheme":[79,129],"with":[80,184],"several":[81],"acceleration":[82],"mechanisms.":[83],"First,":[84],"torso-high":[86],"reference":[87],"plane":[88],"introduced":[90],"since":[91],"general":[93],"the":[94,106,137,171,175],"torso":[95],"part":[96],"(after":[97],"foreground":[98,141],"segmentation)":[99],"more":[101,120],"intact":[102],"stable":[104],"than":[105],"other":[107],"parts":[108],"human":[111],"body,":[112],"thus":[114],"can":[115,152],"predict":[116,133],"potential":[117],"reliably.":[121],"Then,":[122],"novel":[124],"computationally":[126],"bitwise-operation":[128],"proposed":[131,176],"at":[136],"intersection":[138],"regions":[139],"line":[142],"samples":[143],"from":[144],"multiple":[145],"views.":[146],"After":[147],"rule-based":[148],"validation,":[149],"accurately":[154],"obtained":[155],"visualized":[157],"on":[158,164],"real":[160],"world":[161],"plane.":[162],"Experiments":[163],"videos":[167],"not":[168],"only":[169],"validate":[170],"high":[172],"accuracy":[173],"method":[177],"locating":[179],"under":[181],"crowded":[182],"scenes":[183],"serious":[185],"occlusions,":[186],"but":[187],"also":[188],"demonstrate":[189],"outstanding":[191],"speed.":[193]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1}],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}
