{"id":"https://openalex.org/W2024922370","doi":"https://doi.org/10.1109/urai.2013.6677358","title":"Foreground soft segmentation for search space reduction","display_name":"Foreground soft segmentation for search space reduction","publication_year":2013,"publication_date":"2013-10-01","ids":{"openalex":"https://openalex.org/W2024922370","doi":"https://doi.org/10.1109/urai.2013.6677358","mag":"2024922370"},"language":"en","primary_location":{"id":"doi:10.1109/urai.2013.6677358","is_oa":false,"landing_page_url":"https://doi.org/10.1109/urai.2013.6677358","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 10th International Conference on Ubiquitous Robots and Ambient Intelligence (URAI)","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/A5101464856","display_name":"Eunji Cho","orcid":"https://orcid.org/0000-0002-3027-0357"},"institutions":[{"id":"https://openalex.org/I123900574","display_name":"Pohang University of Science and Technology","ror":"https://ror.org/04xysgw12","country_code":"KR","type":"education","lineage":["https://openalex.org/I123900574"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Eunji Cho","raw_affiliation_strings":["Department of Computer Science and Engineering, POSTECH, Pohang, Korea","Department of Computer Science & Engineering, POSTECH, Pohang, South Korea"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, POSTECH, Pohang, Korea","institution_ids":["https://openalex.org/I123900574"]},{"raw_affiliation_string":"Department of Computer Science & Engineering, POSTECH, Pohang, South Korea","institution_ids":["https://openalex.org/I123900574"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101431617","display_name":"Daijin Kim","orcid":"https://orcid.org/0000-0002-8046-8521"},"institutions":[{"id":"https://openalex.org/I123900574","display_name":"Pohang University of Science and Technology","ror":"https://ror.org/04xysgw12","country_code":"KR","type":"education","lineage":["https://openalex.org/I123900574"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Daijin Kim","raw_affiliation_strings":["Department of Computer Science and Engineering, POSTECH, Pohang, Korea","Department of Computer Science & Engineering, POSTECH, Pohang, South Korea"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, POSTECH, Pohang, Korea","institution_ids":["https://openalex.org/I123900574"]},{"raw_affiliation_string":"Department of Computer Science & Engineering, POSTECH, Pohang, South Korea","institution_ids":["https://openalex.org/I123900574"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5101464856"],"corresponding_institution_ids":["https://openalex.org/I123900574"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.09742731,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"249","last_page":"250"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9997000098228455,"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":0.9997000098228455,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.9995999932289124,"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/T11019","display_name":"Image Enhancement Techniques","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/segmentation","display_name":"Segmentation","score":0.765387773513794},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7386984825134277},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6793016791343689},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6493378281593323},{"id":"https://openalex.org/keywords/reduction","display_name":"Reduction (mathematics)","score":0.6216452121734619},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.6179096698760986},{"id":"https://openalex.org/keywords/scale-space-segmentation","display_name":"Scale-space segmentation","score":0.6173335313796997},{"id":"https://openalex.org/keywords/space","display_name":"Space (punctuation)","score":0.5105205774307251},{"id":"https://openalex.org/keywords/limiting","display_name":"Limiting","score":0.4857326149940491},{"id":"https://openalex.org/keywords/segmentation-based-object-categorization","display_name":"Segmentation-based object categorization","score":0.44792768359184265},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.43285149335861206},{"id":"https://openalex.org/keywords/tree","display_name":"Tree (set theory)","score":0.4294849932193756},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.241620272397995}],"concepts":[{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.765387773513794},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7386984825134277},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6793016791343689},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6493378281593323},{"id":"https://openalex.org/C111335779","wikidata":"https://www.wikidata.org/wiki/Q3454686","display_name":"Reduction (mathematics)","level":2,"score":0.6216452121734619},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.6179096698760986},{"id":"https://openalex.org/C65885262","wikidata":"https://www.wikidata.org/wiki/Q7429708","display_name":"Scale-space segmentation","level":4,"score":0.6173335313796997},{"id":"https://openalex.org/C2778572836","wikidata":"https://www.wikidata.org/wiki/Q380933","display_name":"Space (punctuation)","level":2,"score":0.5105205774307251},{"id":"https://openalex.org/C188198153","wikidata":"https://www.wikidata.org/wiki/Q1613840","display_name":"Limiting","level":2,"score":0.4857326149940491},{"id":"https://openalex.org/C25694479","wikidata":"https://www.wikidata.org/wiki/Q7446278","display_name":"Segmentation-based object categorization","level":5,"score":0.44792768359184265},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.43285149335861206},{"id":"https://openalex.org/C113174947","wikidata":"https://www.wikidata.org/wiki/Q2859736","display_name":"Tree (set theory)","level":2,"score":0.4294849932193756},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.241620272397995},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","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},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/urai.2013.6677358","is_oa":false,"landing_page_url":"https://doi.org/10.1109/urai.2013.6677358","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 10th International Conference on Ubiquitous Robots and Ambient Intelligence (URAI)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.4099999964237213,"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":6,"referenced_works":["https://openalex.org/W1994529670","https://openalex.org/W2022699039","https://openalex.org/W2068533011","https://openalex.org/W2092146246","https://openalex.org/W2105990640","https://openalex.org/W6675961540"],"related_works":["https://openalex.org/W3144569342","https://openalex.org/W2945274617","https://openalex.org/W2185902295","https://openalex.org/W2103507220","https://openalex.org/W2055202857","https://openalex.org/W4205800335","https://openalex.org/W2371519352","https://openalex.org/W2386644571","https://openalex.org/W2372421320","https://openalex.org/W2551987074"],"abstract_inverted_index":{"This":[0],"paper":[1],"proposes":[2],"the":[3,9,41,44,54,62],"foreground":[4,60],"soft":[5],"segmentation":[6,58],"to":[7,25],"reduce":[8],"search":[10,36],"space":[11,37],"for":[12,32],"human":[13],"pose":[14],"estimation.":[15],"Our":[16],"contributions":[17],"are":[18],"twofold:":[19],"(i)":[20],"using":[21],"a":[22,28],"quad-tree":[23],"structure":[24],"efficiently":[26],"obtain":[27],"binary":[29],"label":[30],"image":[31],"foreground;":[33],"and":[34,65],"(ii)":[35],"reduction":[38],"by":[39],"limiting":[40],"locations":[42],"within":[43],"only":[45],"area":[46],"based":[47],"on":[48],"segmented":[49],"foreground.":[50],"We":[51],"show":[52],"that":[53],"proposed":[55],"method":[56],"achieves":[57],"of":[59],"in":[61],"various":[63],"environments":[64],"poses.":[66]},"counts_by_year":[{"year":2017,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}