{"id":"https://openalex.org/W2065650140","doi":"https://doi.org/10.1145/2382336.2382349","title":"Multiple features fusion for crowd density estimation","display_name":"Multiple features fusion for crowd density estimation","publication_year":2012,"publication_date":"2012-09-09","ids":{"openalex":"https://openalex.org/W2065650140","doi":"https://doi.org/10.1145/2382336.2382349","mag":"2065650140"},"language":"en","primary_location":{"id":"doi:10.1145/2382336.2382349","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2382336.2382349","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 4th International Conference on Internet Multimedia Computing and Service","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/A5100341722","display_name":"Zi Ye","orcid":"https://orcid.org/0000-0003-1002-0315"},"institutions":[{"id":"https://openalex.org/I25757504","display_name":"China University of Mining and Technology","ror":"https://ror.org/01xt2dr21","country_code":"CN","type":"education","lineage":["https://openalex.org/I25757504"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zi Ye","raw_affiliation_strings":["China University of Mining and Technology (Beijing)","China University of Mining and Technology(Beijing),"],"affiliations":[{"raw_affiliation_string":"China University of Mining and Technology (Beijing)","institution_ids":["https://openalex.org/I25757504"]},{"raw_affiliation_string":"China University of Mining and Technology(Beijing),","institution_ids":["https://openalex.org/I25757504"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058420913","display_name":"Jinqiao Wang","orcid":"https://orcid.org/0000-0002-9118-2780"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jinqiao Wang","raw_affiliation_strings":["Chinese Academy of Sciences, Beijing, China","Chinese Academy of Sciences , Beijing, China"],"affiliations":[{"raw_affiliation_string":"Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I19820366"]},{"raw_affiliation_string":"Chinese Academy of Sciences , Beijing, China","institution_ids":["https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004714309","display_name":"Zhenchong Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I25757504","display_name":"China University of Mining and Technology","ror":"https://ror.org/01xt2dr21","country_code":"CN","type":"education","lineage":["https://openalex.org/I25757504"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhenchong Wang","raw_affiliation_strings":["China University of Mining and Technology (Beijing)","China University of Mining and Technology(Beijing),"],"affiliations":[{"raw_affiliation_string":"China University of Mining and Technology (Beijing)","institution_ids":["https://openalex.org/I25757504"]},{"raw_affiliation_string":"China University of Mining and Technology(Beijing),","institution_ids":["https://openalex.org/I25757504"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100511737","display_name":"Hanqing Lu","orcid":"https://orcid.org/0000-0001-9506-3407"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hanqing Lu","raw_affiliation_strings":["Chinese Academy of Sciences, Beijing, China","Chinese Academy of Sciences , Beijing, China"],"affiliations":[{"raw_affiliation_string":"Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I19820366"]},{"raw_affiliation_string":"Chinese Academy of Sciences , Beijing, China","institution_ids":["https://openalex.org/I19820366"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5100341722"],"corresponding_institution_ids":["https://openalex.org/I25757504"],"apc_list":null,"apc_paid":null,"fwci":0.82955993,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.75464886,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"42","last_page":"45"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9987999796867371,"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":0.9987999796867371,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.984499990940094,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T13890","display_name":"Remote Sensing and Land Use","score":0.9753000140190125,"subfield":{"id":"https://openalex.org/subfields/1902","display_name":"Atmospheric Science"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7539749145507812},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.7517296671867371},{"id":"https://openalex.org/keywords/statistic","display_name":"Statistic","score":0.7269277572631836},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6849852800369263},{"id":"https://openalex.org/keywords/density-estimation","display_name":"Density estimation","score":0.5750947594642639},{"id":"https://openalex.org/keywords/frame","display_name":"Frame (networking)","score":0.5509105920791626},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.532658040523529},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.4874696731567383},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.4561859667301178},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4480210542678833},{"id":"https://openalex.org/keywords/fusion","display_name":"Fusion","score":0.41672131419181824},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.34651583433151245},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.34619390964508057},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.16708937287330627},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.14553052186965942},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.12783583998680115},{"id":"https://openalex.org/keywords/estimator","display_name":"Estimator","score":0.07452148199081421}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7539749145507812},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.7517296671867371},{"id":"https://openalex.org/C89128539","wikidata":"https://www.wikidata.org/wiki/Q1949963","display_name":"Statistic","level":2,"score":0.7269277572631836},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6849852800369263},{"id":"https://openalex.org/C189508267","wikidata":"https://www.wikidata.org/wiki/Q17088227","display_name":"Density estimation","level":3,"score":0.5750947594642639},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.5509105920791626},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.532658040523529},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.4874696731567383},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.4561859667301178},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4480210542678833},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.41672131419181824},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.34651583433151245},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.34619390964508057},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.16708937287330627},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.14553052186965942},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.12783583998680115},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.07452148199081421},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","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/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","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},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2382336.2382349","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2382336.2382349","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 4th International Conference on Internet Multimedia Computing and Service","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities","score":0.6100000143051147}],"awards":[{"id":"https://openalex.org/G2459280394","display_name":null,"funder_award_id":"6.09E+15","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4909963292","display_name":null,"funder_award_id":"2010CB 327905","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":6,"referenced_works":["https://openalex.org/W1883334593","https://openalex.org/W2121819010","https://openalex.org/W2123175289","https://openalex.org/W2143043044","https://openalex.org/W2151061404","https://openalex.org/W2165736323"],"related_works":["https://openalex.org/W2090763504","https://openalex.org/W2359776416","https://openalex.org/W2353788488","https://openalex.org/W148178222","https://openalex.org/W2104657898","https://openalex.org/W1948992892","https://openalex.org/W1886884218","https://openalex.org/W1910826599","https://openalex.org/W2012353789","https://openalex.org/W2361916204"],"abstract_inverted_index":{"Crowd":[0],"density":[1,45],"estimation,":[2],"is":[3,21],"much":[4],"valuable":[5],"in":[6,87],"intelligent":[7],"crowd":[8,44],"monitoring.":[9],"The":[10,72],"traditional":[11],"approach":[12,47],"based":[13,30],"on":[14],"static":[15],"texture":[16,52],"analysis":[17,53],"of":[18,35,78],"single":[19],"frame,":[20],"not":[22],"adept":[23],"to":[24],"complex":[25,89],"background,":[26],"and":[27,51,69,82],"the":[28,76,79],"rule":[29],"statistic":[31,49],"approaches":[32],"are":[33],"short":[34],"robustness":[36],"for":[37],"background":[38],"noise.":[39],"In":[40],"this":[41],"paper,":[42],"a":[43,88],"estimation":[46],"fusing":[48],"features":[50],"was":[54],"proposed.":[55],"After":[56],"extracting":[57],"foreground":[58],"objects":[59],"with":[60,67],"frame":[61],"difference,":[62],"we":[63],"learn":[64],"SVM":[65],"classifiers":[66],"GLCM":[68],"statistical":[70],"features.":[71],"experiment":[73],"results":[74],"show":[75],"superiority":[77],"proposed":[80],"method":[81],"it":[83],"can":[84],"be":[85],"applied":[86],"environment.":[90]},"counts_by_year":[{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":1},{"year":2013,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}