{"id":"https://openalex.org/W2030639892","doi":"https://doi.org/10.1109/avss.2014.6918695","title":"Improved color and intensity patch segmentation for human full-body and body-parts detection and tracking","display_name":"Improved color and intensity patch segmentation for human full-body and body-parts detection and tracking","publication_year":2014,"publication_date":"2014-08-01","ids":{"openalex":"https://openalex.org/W2030639892","doi":"https://doi.org/10.1109/avss.2014.6918695","mag":"2030639892"},"language":"en","primary_location":{"id":"doi:10.1109/avss.2014.6918695","is_oa":false,"landing_page_url":"https://doi.org/10.1109/avss.2014.6918695","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 11th IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5103046262","display_name":"Haiwen Chen","orcid":"https://orcid.org/0000-0001-8031-8008"},"institutions":[{"id":"https://openalex.org/I1322124587","display_name":"Booz Allen Hamilton (United States)","ror":"https://ror.org/051rcp357","country_code":"US","type":"company","lineage":["https://openalex.org/I1322124587"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hai-Wen Chen","raw_affiliation_strings":["Booz Allen Hamilton Inc., Belcamp, MD, USA","Booz Allen Hamilton Inc. Belcamp, MD 21017, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Booz Allen Hamilton Inc., Belcamp, MD, USA","institution_ids":["https://openalex.org/I1322124587"]},{"raw_affiliation_string":"Booz Allen Hamilton Inc. Belcamp, MD 21017, USA","institution_ids":["https://openalex.org/I1322124587"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5040402359","display_name":"Mike McGurr","orcid":null},"institutions":[{"id":"https://openalex.org/I1322124587","display_name":"Booz Allen Hamilton (United States)","ror":"https://ror.org/051rcp357","country_code":"US","type":"company","lineage":["https://openalex.org/I1322124587"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Mike McGurr","raw_affiliation_strings":["Booz Allen Hamilton Inc., Belcamp, MD, USA","Booz Allen Hamilton Inc. Belcamp, MD 21017, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Booz Allen Hamilton Inc., Belcamp, MD, USA","institution_ids":["https://openalex.org/I1322124587"]},{"raw_affiliation_string":"Booz Allen Hamilton Inc. Belcamp, MD 21017, USA","institution_ids":["https://openalex.org/I1322124587"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I1322124587"],"apc_list":null,"apc_paid":null,"fwci":0.7192,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.75019552,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":"7694","issue":null,"first_page":"361","last_page":"368"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9994000196456909,"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":0.9994000196456909,"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":0.9983000159263611,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.998199999332428,"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.8061495423316956},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.7829715013504028},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.673466682434082},{"id":"https://openalex.org/keywords/torso","display_name":"Torso","score":0.6395813226699829},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.63067626953125},{"id":"https://openalex.org/keywords/thresholding","display_name":"Thresholding","score":0.5820878744125366},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5283397436141968},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4371081590652466},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.14250099658966064}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.8061495423316956},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7829715013504028},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.673466682434082},{"id":"https://openalex.org/C523889960","wikidata":"https://www.wikidata.org/wiki/Q160695","display_name":"Torso","level":2,"score":0.6395813226699829},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.63067626953125},{"id":"https://openalex.org/C191178318","wikidata":"https://www.wikidata.org/wiki/Q2256906","display_name":"Thresholding","level":3,"score":0.5820878744125366},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5283397436141968},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4371081590652466},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.14250099658966064},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/avss.2014.6918695","is_oa":false,"landing_page_url":"https://doi.org/10.1109/avss.2014.6918695","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 11th IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS)","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":11,"referenced_works":["https://openalex.org/W1997916170","https://openalex.org/W2018019375","https://openalex.org/W2055449970","https://openalex.org/W2063369143","https://openalex.org/W2070893034","https://openalex.org/W2151103935","https://openalex.org/W2161969291","https://openalex.org/W4231627457","https://openalex.org/W6649872434","https://openalex.org/W6664373043","https://openalex.org/W6668486546"],"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/W4386159726"],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"a":[3],"new":[4],"way":[5],"for":[6,51,74,87,97,135,175,210,218,225,234],"detection":[7,126,145],"and":[8,13,18,22,30,39,49,69,82,106,128,138,158,168,196,238],"tracking":[9],"of":[10,58,64,125,131,160,192,203],"human":[11,170,176,211,226],"full-body":[12,75,137],"body-parts":[14,88,142,183],"(head,":[15],"torso,":[16],"arms,":[17],"legs)":[19],"with":[20,99,113],"color":[21],"intensity":[23],"patch":[24],"segmentation.":[25],"The":[26,140],"original":[27],"R,":[28],"G,":[29],"B":[31],"are":[32,72,85,165,208],"transformed":[33],"to":[34,46,148,186,199],"H":[35],"(hue),":[36],"S":[37],"(saturation),":[38],"V":[40],"(value)":[41],"domain,":[42],"as":[43,45,222,224],"well":[44,223],"Y,":[47,67],"I,":[48],"Q":[50,70,83],"the":[52,56,62,78,114,151,156,181,193,200,204],"NTSC":[53],"system.":[54],"With":[55],"help":[57],"morphological":[59],"image":[60],"processing,":[61],"fusion":[63],"S,":[65],"V,":[66,80],"I":[68,81],"segmentations":[71,84],"used":[73,86],"detection,":[76],"while":[77],"individual":[79,152],"detection.":[89,241],"An":[90],"adaptive":[91],"thresholding":[92],"scheme":[93],"has":[94],"been":[95],"developed":[96],"dealing":[98],"body":[100],"size":[101],"changes,":[102,105],"illumination":[103],"condition":[104],"cross":[107],"camera":[108],"parameter":[109],"changes.":[110],"Preliminary":[111],"tests":[112],"PETS":[115],"2014":[116],"datasets":[117],"show":[118],"that":[119],"we":[120],"can":[121],"obtain":[122],"high":[123],"probability":[124,130],"(Pd=100%)":[127],"low":[129],"false":[132],"alarm":[133],"(Pfa=1.95%)":[134],"both":[136],"body-parts.":[139],"reliable":[141],"(e.g.":[143,228],"head)":[144],"allows":[146],"us":[147,185],"continuously":[149],"track":[150],"person":[153],"even":[154],"though":[155],"torsos":[157],"legs":[159],"several":[161],"closely":[162],"spaced":[163],"persons":[164],"merged":[166],"together,":[167],"accurate":[169],"head":[171],"localization":[172],"is":[173],"critical":[174,209],"ID":[177],"(face":[178],"recognition).":[179],"Furthermore,":[180],"detected":[182],"allow":[184],"extract":[187],"important":[188],"local":[189],"constellation":[190],"features":[191,207],"body-parts'":[194],"positions":[195],"angles":[197],"related":[198],"centroid":[201],"position":[202],"full-body.":[205],"These":[206],"walk":[212],"gating":[213],"estimation":[214,233],"(a":[215],"biometric":[216],"feature":[217],"walking":[219],"pattern":[220],"recognition),":[221],"pose":[227],"standing":[229],"or":[230],"falling":[231],"down)":[232],"potential":[235],"abnormal":[236],"behavior":[237],"accidental":[239],"event":[240]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":3},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":3}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
