{"id":"https://openalex.org/W2053046471","doi":"https://doi.org/10.1145/2502081.2502130","title":"Non-rigid target tracking based on 'flow-cut' in pair-wise frames with online hough forests","display_name":"Non-rigid target tracking based on 'flow-cut' in pair-wise frames with online hough forests","publication_year":2013,"publication_date":"2013-10-21","ids":{"openalex":"https://openalex.org/W2053046471","doi":"https://doi.org/10.1145/2502081.2502130","mag":"2053046471"},"language":"en","primary_location":{"id":"doi:10.1145/2502081.2502130","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2502081.2502130","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 21st ACM international conference on Multimedia","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/A5042406159","display_name":"Tao Zhuo","orcid":"https://orcid.org/0000-0001-8860-1887"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Tao Zhuo","raw_affiliation_strings":["Northwestern Polytechnical University, Xi'an, China"],"affiliations":[{"raw_affiliation_string":"Northwestern Polytechnical University, Xi'an, China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028235866","display_name":"Yanning Zhang","orcid":"https://orcid.org/0000-0002-2977-8057"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yanning Zhang","raw_affiliation_strings":["Northwestern Polytechnical University, Xi'an, China"],"affiliations":[{"raw_affiliation_string":"Northwestern Polytechnical University, Xi'an, China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100364049","display_name":"Peng Zhang","orcid":"https://orcid.org/0000-0001-8345-1736"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Peng Zhang","raw_affiliation_strings":["Northwestern Polytechnical University, Xi'an, China"],"affiliations":[{"raw_affiliation_string":"Northwestern Polytechnical University, Xi'an, China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004584268","display_name":"Wei Huang","orcid":"https://orcid.org/0000-0002-0541-8612"},"institutions":[{"id":"https://openalex.org/I141649914","display_name":"Nanchang University","ror":"https://ror.org/042v6xz23","country_code":"CN","type":"education","lineage":["https://openalex.org/I141649914"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Huang","raw_affiliation_strings":["Nanchang University, Nanchang, China"],"affiliations":[{"raw_affiliation_string":"Nanchang University, Nanchang, China","institution_ids":["https://openalex.org/I141649914"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5073820422","display_name":"Hichem Sahli","orcid":"https://orcid.org/0000-0002-1774-2970"},"institutions":[{"id":"https://openalex.org/I13469542","display_name":"Vrije Universiteit Brussel","ror":"https://ror.org/006e5kg04","country_code":"BE","type":"education","lineage":["https://openalex.org/I13469542"]}],"countries":["BE"],"is_corresponding":false,"raw_author_name":"Hichem Sahli","raw_affiliation_strings":["Vrije Universiteit Brussel, Brussel , Belgium","Vrije Universiteit Brussel, Brussel, Belgium#TAB#"],"affiliations":[{"raw_affiliation_string":"Vrije Universiteit Brussel, Brussel , Belgium","institution_ids":["https://openalex.org/I13469542"]},{"raw_affiliation_string":"Vrije Universiteit Brussel, Brussel, Belgium#TAB#","institution_ids":["https://openalex.org/I13469542"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5042406159"],"corresponding_institution_ids":["https://openalex.org/I17145004"],"apc_list":null,"apc_paid":null,"fwci":0.2765,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.60911951,"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":"489","last_page":"492"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9988999962806702,"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":0.998199999332428,"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":0.803398609161377},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.7487229704856873},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.7358224391937256},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7149783372879028},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.6461994647979736},{"id":"https://openalex.org/keywords/video-tracking","display_name":"Video tracking","score":0.5650880336761475},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.5388732552528381},{"id":"https://openalex.org/keywords/active-appearance-model","display_name":"Active appearance model","score":0.5063401460647583},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.49151095747947693},{"id":"https://openalex.org/keywords/scale-space-segmentation","display_name":"Scale-space segmentation","score":0.42046990990638733},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3941916227340698},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.34885352849960327},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.12153252959251404}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.803398609161377},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.7487229704856873},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7358224391937256},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7149783372879028},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.6461994647979736},{"id":"https://openalex.org/C202474056","wikidata":"https://www.wikidata.org/wiki/Q1931635","display_name":"Video tracking","level":3,"score":0.5650880336761475},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.5388732552528381},{"id":"https://openalex.org/C83248878","wikidata":"https://www.wikidata.org/wiki/Q344000","display_name":"Active appearance model","level":3,"score":0.5063401460647583},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.49151095747947693},{"id":"https://openalex.org/C65885262","wikidata":"https://www.wikidata.org/wiki/Q7429708","display_name":"Scale-space segmentation","level":4,"score":0.42046990990638733},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3941916227340698},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.34885352849960327},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.12153252959251404},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"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/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","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/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/2502081.2502130","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2502081.2502130","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 21st ACM international conference on Multimedia","raw_type":"proceedings-article"},{"id":"pmh:oai:vubissmart:VUBISSMART:2000:87047","is_oa":false,"landing_page_url":"https://biblio.vub.ac.be/vubir/nonrigid-target-tracking-based-on-flowcut-in-pairwise-frames-with-online-hough-forests(5681dc86-bf1f-407b-9193-fd155ee8e838).html","pdf_url":null,"source":{"id":"https://openalex.org/S4306402573","display_name":"VUBIR (Vrije Universiteit Brussel)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I13469542","host_organization_name":"Vrije Universiteit Brussel","host_organization_lineage":["https://openalex.org/I13469542"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W65124300","https://openalex.org/W1785730614","https://openalex.org/W1977470347","https://openalex.org/W1988164930","https://openalex.org/W2027327099","https://openalex.org/W2124211486","https://openalex.org/W2124351162","https://openalex.org/W2154504070","https://openalex.org/W2156547441","https://openalex.org/W2165037244","https://openalex.org/W2168802423","https://openalex.org/W2169551590","https://openalex.org/W2911964244","https://openalex.org/W4248635988"],"related_works":["https://openalex.org/W2185902295","https://openalex.org/W2103507220","https://openalex.org/W3144569342","https://openalex.org/W2945274617","https://openalex.org/W4313052709","https://openalex.org/W4285271403","https://openalex.org/W2542007731","https://openalex.org/W4205800335","https://openalex.org/W2022929107","https://openalex.org/W2055202857"],"abstract_inverted_index":{"In":[0,111],"conventional":[1],"online":[2,163],"learning":[3,49],"based":[4],"tracking":[5,164,174,194,203],"studies,":[6],"fixed-shape":[7],"appearance":[8],"modeling":[9],"is":[10,19,44,106,158],"often":[11],"incorporated":[12,159],"for":[13,27,72,119,166],"training":[14,167],"samples":[15,168],"generation,":[16],"as":[17,41],"it":[18],"simple":[20],"and":[21,31,182,196],"convenient":[22],"to":[23,46,59,101,108],"be":[24,109,146],"applied.":[25],"However,":[26],"more":[28,55,148],"general":[29],"non-rigid":[30,61,120],"articulated":[32],"object,":[33],"this":[34,112],"strategy":[35],"may":[36],"regard":[37],"some":[38],"background":[39],"areas":[40,144],"foreground,":[42],"which":[43],"likely":[45],"deteriorate":[47],"the":[48,83,87,97,102,141,172,187],"process.":[50],"Recently":[51],"published":[52],"works":[53],"utilize":[54],"than":[56],"one":[57],"patches":[58],"represent":[60],"object":[62,65,121],"with":[63,200],"foreground":[64],"segmentation,":[66],"but":[67],"most":[68],"of":[69],"these":[70,94],"segmentation":[71,105,122,156],"target":[73,143],"representation":[74],"are":[75,99],"performed":[76],"only":[77],"in":[78,193,198],"single":[79],"frame":[80],"manner.":[81],"Since":[82],"motion":[84,139],"information":[85],"between":[86,128],"consecutive":[88,125],"frames":[89,130],"was":[90],"not":[91],"considered":[92],"by":[93,123],"approaches,":[95],"when":[96],"backgrounds":[98],"similar":[100],"target,":[103],"accurate":[104],"hard":[107],"achieved.":[110],"work,":[113],"we":[114],"propose":[115],"a":[116,132,161,185,190],"novel":[117],"model":[118,157],"incorporating":[124],"gradients":[126],"flow":[127],"pair-wise":[129],"into":[131,160],"Gibbs":[133],"energy":[134],"function.":[135],"With":[136],"help":[137],"from":[138],"information,":[140],"irregular":[142],"can":[145],"segmented":[147],"accurately":[149],"during":[150],"precise":[151],"boundary":[152],"convergence.":[153],"The":[154],"proposed":[155,173],"semi-supervised":[162],"framework":[165],"generation.":[169],"We":[170],"test":[171],"on":[175],"challenging":[176],"videos":[177],"involving":[178],"heavy":[179],"intrinsic":[180],"variations":[181],"occlusions.":[183],"As":[184],"result,":[186],"experiments":[188],"demonstrate":[189],"significant":[191],"improvement":[192],"accuracy":[195],"robustness":[197],"comparison":[199],"other":[201],"state-of-art":[202],"works.":[204]},"counts_by_year":[{"year":2019,"cited_by_count":1},{"year":2016,"cited_by_count":1}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}