{"id":"https://openalex.org/W2578413736","doi":"https://doi.org/10.2352/issn.2470-1173.2016.21.3dipm-046","title":"Human detection from still depth images","display_name":"Human detection from still depth images","publication_year":2016,"publication_date":"2016-02-14","ids":{"openalex":"https://openalex.org/W2578413736","doi":"https://doi.org/10.2352/issn.2470-1173.2016.21.3dipm-046","mag":"2578413736"},"language":"en","primary_location":{"id":"doi:10.2352/issn.2470-1173.2016.21.3dipm-046","is_oa":false,"landing_page_url":"https://doi.org/10.2352/issn.2470-1173.2016.21.3dipm-046","pdf_url":null,"source":{"id":"https://openalex.org/S4210227276","display_name":"Electronic Imaging","issn_l":"2470-1173","issn":["2470-1173"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Electronic Imaging","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/A5046641310","display_name":"Gulsum Nurdan Can","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Gulsum Nurdan Can","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5001721758","display_name":"Helin Duta\u011fac\u0131","orcid":"https://orcid.org/0000-0003-4528-9277"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Helin Dutagaci","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5046641310"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.668,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.78455032,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"28","issue":"21","first_page":"3DIPM","last_page":"046.1"},"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":0.9790999889373779,"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/T12740","display_name":"Gait Recognition and Analysis","score":0.9501000046730042,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical 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/artificial-intelligence","display_name":"Artificial intelligence","score":0.7901309728622437},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.7419906854629517},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7062996625900269},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6431804895401001},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.5939538478851318},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.5799246430397034},{"id":"https://openalex.org/keywords/boundary","display_name":"Boundary (topology)","score":0.5662482976913452},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.5621093511581421},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5569263100624084},{"id":"https://openalex.org/keywords/homogeneous","display_name":"Homogeneous","score":0.5301904082298279},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.4975259602069855},{"id":"https://openalex.org/keywords/human-head","display_name":"Human head","score":0.4941008388996124},{"id":"https://openalex.org/keywords/range-segmentation","display_name":"Range segmentation","score":0.4665073752403259},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.43638136982917786},{"id":"https://openalex.org/keywords/region-growing","display_name":"Region growing","score":0.432841420173645},{"id":"https://openalex.org/keywords/scale-space-segmentation","display_name":"Scale-space segmentation","score":0.35938435792922974},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.18939250707626343}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7901309728622437},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.7419906854629517},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7062996625900269},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6431804895401001},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.5939538478851318},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.5799246430397034},{"id":"https://openalex.org/C62354387","wikidata":"https://www.wikidata.org/wiki/Q875399","display_name":"Boundary (topology)","level":2,"score":0.5662482976913452},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.5621093511581421},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5569263100624084},{"id":"https://openalex.org/C66882249","wikidata":"https://www.wikidata.org/wiki/Q169336","display_name":"Homogeneous","level":2,"score":0.5301904082298279},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.4975259602069855},{"id":"https://openalex.org/C2780549717","wikidata":"https://www.wikidata.org/wiki/Q3409626","display_name":"Human head","level":3,"score":0.4941008388996124},{"id":"https://openalex.org/C67561299","wikidata":"https://www.wikidata.org/wiki/Q7292710","display_name":"Range segmentation","level":5,"score":0.4665073752403259},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.43638136982917786},{"id":"https://openalex.org/C206824153","wikidata":"https://www.wikidata.org/wiki/Q1169834","display_name":"Region growing","level":5,"score":0.432841420173645},{"id":"https://openalex.org/C65885262","wikidata":"https://www.wikidata.org/wiki/Q7429708","display_name":"Scale-space segmentation","level":4,"score":0.35938435792922974},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.18939250707626343},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","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/C125287762","wikidata":"https://www.wikidata.org/wiki/Q1758948","display_name":"Absorption (acoustics)","level":2,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.2352/issn.2470-1173.2016.21.3dipm-046","is_oa":false,"landing_page_url":"https://doi.org/10.2352/issn.2470-1173.2016.21.3dipm-046","pdf_url":null,"source":{"id":"https://openalex.org/S4210227276","display_name":"Electronic Imaging","issn_l":"2470-1173","issn":["2470-1173"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Electronic Imaging","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2394279717","https://openalex.org/W2551987074","https://openalex.org/W2150504945","https://openalex.org/W2364031613","https://openalex.org/W326224813","https://openalex.org/W2553765490","https://openalex.org/W2359699469","https://openalex.org/W2162746041","https://openalex.org/W2183699493","https://openalex.org/W2735035961"],"abstract_inverted_index":{"Human":[0],"detection":[1,25,102],"from":[2,15,36],"depth":[3,10,41,53,109],"images":[4,110],"is":[5,31,46,78,105],"gaining":[6],"substantial":[7],"attention":[8],"since":[9],"information":[11],"facilitates":[12],"object":[13],"extraction":[14],"the":[16,40,65,69,75],"background.":[17],"In":[18],"this":[19],"paper,":[20],"we":[21],"propose":[22],"a":[23,37,93],"human":[24,101],"method":[26,90],"where":[27],"search":[28],"for":[29],"humans":[30,112],"performed":[32],"over":[33],"regions":[34,62],"obtained":[35],"pre-segmentation":[38],"of":[39,51,58,68,71,107,111],"image.":[42],"Our":[43],"segmentation":[44,76],"scheme":[45],"based":[47],"on":[48,92,98],"K-means":[49],"clustering":[50],"location,":[52],"values":[54],"and":[55,80,97],"surface":[56],"normals":[57],"pixels.":[59],"Once":[60],"homogeneous":[61],"are":[63],"determined,":[64],"top":[66],"portion":[67],"boundary":[70],"each":[72],"region":[73],"in":[74,113,117],"map":[77],"extracted":[79],"matched":[81],"with":[82],"realistic":[83],"head-shoulder":[84],"template":[85],"curves.":[86],"We":[87],"evaluate":[88],"our":[89,99],"both":[91],"publicly":[94],"available":[95],"dataset,":[96,103],"new":[100],"which":[104],"composed":[106],"500":[108],"diverse":[114],"poses":[115],"acquired":[116],"varying":[118],"indoor":[119],"environments.":[120]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2019,"cited_by_count":3},{"year":2017,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
