{"id":"https://openalex.org/W2004278847","doi":"https://doi.org/10.4304/jcp.9.5.1209-1217","title":"Crowd Density Estimation based on Improved Harris Algorithm & Optics Alg.","display_name":"Crowd Density Estimation based on Improved Harris Algorithm & Optics Alg.","publication_year":2014,"publication_date":"2014-05-01","ids":{"openalex":"https://openalex.org/W2004278847","doi":"https://doi.org/10.4304/jcp.9.5.1209-1217","mag":"2004278847"},"language":"en","primary_location":{"id":"doi:10.4304/jcp.9.5.1209-1217","is_oa":false,"landing_page_url":"https://doi.org/10.4304/jcp.9.5.1209-1217","pdf_url":null,"source":{"id":"https://openalex.org/S77894049","display_name":"Journal of Computers","issn_l":"1796-203X","issn":["1796-203X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318660","host_organization_name":"Academy Publisher","host_organization_lineage":["https://openalex.org/P4310318660"],"host_organization_lineage_names":["Academy Publisher"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Computers","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/A5052315039","display_name":"Cheng Xu","orcid":"https://orcid.org/0000-0003-4913-5371"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Cheng Xu","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057248354","display_name":"Hong Bao","orcid":"https://orcid.org/0000-0002-4760-1570"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Hong Bao","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100431545","display_name":"Lulu Zhang","orcid":"https://orcid.org/0000-0001-9076-1898"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Lulu Zhang","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5043093200","display_name":"Ning He","orcid":"https://orcid.org/0000-0002-1020-124X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ning He","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.2426,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.56773978,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"9","issue":"5","first_page":null,"last_page":null},"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9994999766349792,"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/T12597","display_name":"Fire Detection and Safety Systems","score":0.9843999743461609,"subfield":{"id":"https://openalex.org/subfields/2213","display_name":"Safety, Risk, Reliability and Quality"},"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/computer-science","display_name":"Computer science","score":0.534903883934021},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4749886095523834},{"id":"https://openalex.org/keywords/estimation","display_name":"Estimation","score":0.4125528037548065},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.07859078049659729}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.534903883934021},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4749886095523834},{"id":"https://openalex.org/C96250715","wikidata":"https://www.wikidata.org/wiki/Q965330","display_name":"Estimation","level":2,"score":0.4125528037548065},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.07859078049659729},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.4304/jcp.9.5.1209-1217","is_oa":false,"landing_page_url":"https://doi.org/10.4304/jcp.9.5.1209-1217","pdf_url":null,"source":{"id":"https://openalex.org/S77894049","display_name":"Journal of Computers","issn_l":"1796-203X","issn":["1796-203X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318660","host_organization_name":"Academy Publisher","host_organization_lineage":["https://openalex.org/P4310318660"],"host_organization_lineage_names":["Academy Publisher"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Computers","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":19,"referenced_works":["https://openalex.org/W1796942755","https://openalex.org/W1978481011","https://openalex.org/W1983336653","https://openalex.org/W1988222510","https://openalex.org/W1989037459","https://openalex.org/W2039430607","https://openalex.org/W2042322506","https://openalex.org/W2060022598","https://openalex.org/W2064989529","https://openalex.org/W2078159779","https://openalex.org/W2079371129","https://openalex.org/W2087149560","https://openalex.org/W2106442491","https://openalex.org/W2122269389","https://openalex.org/W2129812935","https://openalex.org/W2148264622","https://openalex.org/W4285719527","https://openalex.org/W6607331729","https://openalex.org/W6647349545"],"related_works":["https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2051487156","https://openalex.org/W2390279801","https://openalex.org/W303980170","https://openalex.org/W2351491280","https://openalex.org/W2386767533","https://openalex.org/W2371447506","https://openalex.org/W2383592480","https://openalex.org/W2348731943"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"we":[3,47],"propose":[4],"a":[5,100,135],"method":[6,127],"to":[7,54,117,121],"estimate":[8],"crowd":[9,28,60,74,143],"density":[10,40,51,61,75],"using":[11,86],"improved":[12,33],"Harris":[13,34,124],"and":[14,36,89,105,133],"Optics":[15],"Algorithm.":[16],"First":[17],"of":[18,26,59,67,102,131,142],"all,":[19],"the":[20,27,32,38,49,56,65,68,73,79,90,122,129,140],"images":[21],"are":[22,29,85],"pre-processed,":[23],"corner":[24,57],"features":[25],"detected":[30],"by":[31,78],"algorithm,":[35],"then":[37],"formed":[39],"point":[41],"data":[42],"will":[43],"be\u00a0":[44],"analyzed.":[45],"Then,":[46],"use":[48],"optics":[50],"clustering":[52],"theory":[53],"analyze":[55],"characters":[58],"which":[62],"based":[63],"on":[64,99,138],"distribution":[66],"feature":[69],"points.":[70],"At":[71],"last,":[72],"is":[76,115],"estimated":[77],"machine":[80],"learning":[81],"algorithm.":[82,125],"The":[83,93],"experiments":[84],"PETS2009":[87],"database":[88],"self-shooting":[91],"datasets.":[92],"proposed":[94],"approach":[95,114],"has":[96,107,134],"been":[97],"tested":[98],"number":[101],"image":[103],"sequences,":[104],"it":[106],"good":[108],"performance.The":[109],"results":[110],"show":[111],"that":[112],"our":[113],"superior":[116],"other":[118],"methods,":[119],"compared":[120],"original":[123],"Our":[126],"improves":[128],"efficiency":[130],"estimation":[132],"significant":[136],"impact":[137],"preventing":[139],"accidents":[141],"area":[144],"with":[145],"high":[146],"density.":[147]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2018,"cited_by_count":2},{"year":2014,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}