{"id":"https://openalex.org/W2162399046","doi":"https://doi.org/10.1109/apsipa.2013.6694361","title":"Human segmentation from video by combining random walks with human shape prior adaption","display_name":"Human segmentation from video by combining random walks with human shape prior adaption","publication_year":2013,"publication_date":"2013-10-01","ids":{"openalex":"https://openalex.org/W2162399046","doi":"https://doi.org/10.1109/apsipa.2013.6694361","mag":"2162399046"},"language":"en","primary_location":{"id":"doi:10.1109/apsipa.2013.6694361","is_oa":false,"landing_page_url":"https://doi.org/10.1109/apsipa.2013.6694361","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference","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/A5038562259","display_name":"Yu-Tzu Lee","orcid":null},"institutions":[{"id":"https://openalex.org/I25846049","display_name":"National Tsing Hua University","ror":"https://ror.org/00zdnkx70","country_code":"TW","type":"education","lineage":["https://openalex.org/I25846049"]}],"countries":["TW"],"is_corresponding":true,"raw_author_name":"Yu-Tzu Lee","raw_affiliation_strings":["Institute of Information Systems and Applications, National Tsing Hua University, Hsinchu, Taiwan, R.O.C"],"affiliations":[{"raw_affiliation_string":"Institute of Information Systems and Applications, National Tsing Hua University, Hsinchu, Taiwan, R.O.C","institution_ids":["https://openalex.org/I25846049"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078750379","display_name":"Te-Feng Su","orcid":null},"institutions":[{"id":"https://openalex.org/I25846049","display_name":"National Tsing Hua University","ror":"https://ror.org/00zdnkx70","country_code":"TW","type":"education","lineage":["https://openalex.org/I25846049"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Te-Feng Su","raw_affiliation_strings":["Department of Computer Science, National Tsing Hua University, Hsinchu, Taiwan, R.O.C"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, National Tsing Hua University, Hsinchu, Taiwan, R.O.C","institution_ids":["https://openalex.org/I25846049"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037670414","display_name":"Hong\u2010Ren Su","orcid":"https://orcid.org/0000-0002-2532-9043"},"institutions":[{"id":"https://openalex.org/I25846049","display_name":"National Tsing Hua University","ror":"https://ror.org/00zdnkx70","country_code":"TW","type":"education","lineage":["https://openalex.org/I25846049"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Hong-Ren Su","raw_affiliation_strings":["Institute of Information Systems and Applications, National Tsing Hua University, Hsinchu, Taiwan, R.O.C"],"affiliations":[{"raw_affiliation_string":"Institute of Information Systems and Applications, National Tsing Hua University, Hsinchu, Taiwan, R.O.C","institution_ids":["https://openalex.org/I25846049"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073849580","display_name":"Shang\u2010Hong Lai","orcid":"https://orcid.org/0000-0002-5092-993X"},"institutions":[{"id":"https://openalex.org/I25846049","display_name":"National Tsing Hua University","ror":"https://ror.org/00zdnkx70","country_code":"TW","type":"education","lineage":["https://openalex.org/I25846049"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Shang-Hong Lai","raw_affiliation_strings":["Department of Computer Science, National Tsing Hua University, Hsinchu, Taiwan, R.O.C"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, National Tsing Hua University, Hsinchu, Taiwan, R.O.C","institution_ids":["https://openalex.org/I25846049"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068529687","display_name":"Tsung-Chan Lee","orcid":null},"institutions":[{"id":"https://openalex.org/I4210148468","display_name":"Industrial Technology Research Institute","ror":"https://ror.org/05szzwt63","country_code":"TW","type":"nonprofit","lineage":["https://openalex.org/I4210148468"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Tsung-Chan Lee","raw_affiliation_strings":["Industrial Technology Research Institute, Hsinchu, Taiwan, R.O.C"],"affiliations":[{"raw_affiliation_string":"Industrial Technology Research Institute, Hsinchu, Taiwan, R.O.C","institution_ids":["https://openalex.org/I4210148468"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5108226794","display_name":"Ming-Yu Shih","orcid":null},"institutions":[{"id":"https://openalex.org/I4210148468","display_name":"Industrial Technology Research Institute","ror":"https://ror.org/05szzwt63","country_code":"TW","type":"nonprofit","lineage":["https://openalex.org/I4210148468"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Ming-Yu Shih","raw_affiliation_strings":["Industrial Technology Research Institute, Hsinchu, Taiwan, R.O.C"],"affiliations":[{"raw_affiliation_string":"Industrial Technology Research Institute, Hsinchu, Taiwan, R.O.C","institution_ids":["https://openalex.org/I4210148468"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5038562259"],"corresponding_institution_ids":["https://openalex.org/I25846049"],"apc_list":null,"apc_paid":null,"fwci":0.8165,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.78140584,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"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":0.9998000264167786,"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":0.9998000264167786,"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":0.996999979019165,"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":0.9969000220298767,"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/computer-science","display_name":"Computer science","score":0.8128046989440918},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.784211277961731},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.7391604781150818},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.7289599180221558},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.6290732622146606},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.5985145568847656},{"id":"https://openalex.org/keywords/random-walk","display_name":"Random walk","score":0.5793169736862183},{"id":"https://openalex.org/keywords/random-walker-algorithm","display_name":"Random walker algorithm","score":0.48796218633651733},{"id":"https://openalex.org/keywords/face","display_name":"Face (sociological concept)","score":0.48678824305534363},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4309617578983307},{"id":"https://openalex.org/keywords/scale-space-segmentation","display_name":"Scale-space segmentation","score":0.4204055666923523},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.31430065631866455},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.13425394892692566}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8128046989440918},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.784211277961731},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7391604781150818},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.7289599180221558},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.6290732622146606},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.5985145568847656},{"id":"https://openalex.org/C121194460","wikidata":"https://www.wikidata.org/wiki/Q856741","display_name":"Random walk","level":2,"score":0.5793169736862183},{"id":"https://openalex.org/C105045736","wikidata":"https://www.wikidata.org/wiki/Q7292002","display_name":"Random walker algorithm","level":3,"score":0.48796218633651733},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.48678824305534363},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4309617578983307},{"id":"https://openalex.org/C65885262","wikidata":"https://www.wikidata.org/wiki/Q7429708","display_name":"Scale-space segmentation","level":4,"score":0.4204055666923523},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.31430065631866455},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.13425394892692566},{"id":"https://openalex.org/C36289849","wikidata":"https://www.wikidata.org/wiki/Q34749","display_name":"Social science","level":1,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/apsipa.2013.6694361","is_oa":false,"landing_page_url":"https://doi.org/10.1109/apsipa.2013.6694361","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education","score":0.5600000023841858}],"awards":[],"funders":[{"id":"https://openalex.org/F4320322214","display_name":"Industrial Technology Research Institute","ror":"https://ror.org/05szzwt63"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W105882735","https://openalex.org/W2036999561","https://openalex.org/W2044005448","https://openalex.org/W2118877769","https://openalex.org/W2119958126","https://openalex.org/W2120565457","https://openalex.org/W2125480112","https://openalex.org/W2125637308","https://openalex.org/W2914976302","https://openalex.org/W6677548441","https://openalex.org/W6759892742"],"related_works":["https://openalex.org/W1986655823","https://openalex.org/W2185902295","https://openalex.org/W2103507220","https://openalex.org/W3144569342","https://openalex.org/W1973641485","https://openalex.org/W3011384228","https://openalex.org/W2472745029","https://openalex.org/W2945274617","https://openalex.org/W1522196789","https://openalex.org/W2120981610"],"abstract_inverted_index":{"In":[0,82],"this":[1],"paper,":[2],"we":[3,84,100],"propose":[4],"an":[5],"automatic":[6],"human":[7,29,55],"segmentation":[8,62,97],"algorithm":[9],"for":[10,44,68],"video":[11],"conferencing":[12],"applications.":[13],"Since":[14],"humans":[15,34],"are":[16],"the":[17,23,42,61,65,70,78,94,110,115],"principal":[18],"subject":[19],"in":[20,89],"these":[21],"videos,":[22],"proposed":[24,116],"framework":[25],"is":[26],"based":[27],"on":[28,104],"shape":[30],"clues":[31],"to":[32,64,72,77,92,108],"separate":[33],"from":[35],"complex":[36],"background":[37,43],"and":[38,52,59,112],"replace":[39],"or":[40],"blur":[41],"immersive":[45],"communication.":[46],"We":[47],"first":[48],"detect":[49],"face":[50],"position":[51],"size,":[53],"track":[54],"boundary":[56],"across":[57],"frames,":[58],"propagate":[60],"likelihood":[63],"next":[66],"frame":[67],"obtaining":[69],"trimap":[71],"be":[73],"used":[74],"as":[75],"input":[76],"Random":[79,95],"Walk":[80,96],"algorithm.":[81],"addition,":[83],"also":[85],"include":[86],"gradient":[87],"magnitude":[88],"edge":[90],"weight":[91],"enhance":[93],"results.":[98],"Finally,":[99],"demonstrate":[101],"experimental":[102],"results":[103],"several":[105],"image":[106],"sequences":[107],"show":[109],"effectiveness":[111],"robustness":[113],"of":[114],"method.":[117]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2016,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}