{"id":"https://openalex.org/W4285816277","doi":"https://doi.org/10.1145/3544109.3544323","title":"Target Detection and Multi-Feature Fusion Based on Deep Learning and CamShift Algorithm","display_name":"Target Detection and Multi-Feature Fusion Based on Deep Learning and CamShift Algorithm","publication_year":2022,"publication_date":"2022-04-14","ids":{"openalex":"https://openalex.org/W4285816277","doi":"https://doi.org/10.1145/3544109.3544323"},"language":"en","primary_location":{"id":"doi:10.1145/3544109.3544323","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3544109.3544323","pdf_url":null,"source":{"id":"https://openalex.org/S4363608047","display_name":"2022 3rd Asia-Pacific Conference on Image Processing, Electronics and Computers","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 3rd Asia-Pacific Conference on Image Processing, Electronics and Computers","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/A5010546326","display_name":"Huayu Zou","orcid":null},"institutions":[{"id":"https://openalex.org/I10660446","display_name":"Kunming University of Science and Technology","ror":"https://ror.org/00xyeez13","country_code":"CN","type":"education","lineage":["https://openalex.org/I10660446"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Huayu Zou","raw_affiliation_strings":["Kunming University of Science and Technology, China"],"affiliations":[{"raw_affiliation_string":"Kunming University of Science and Technology, China","institution_ids":["https://openalex.org/I10660446"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101653839","display_name":"Jian Wang","orcid":"https://orcid.org/0000-0003-1281-2287"},"institutions":[{"id":"https://openalex.org/I10660446","display_name":"Kunming University of Science and Technology","ror":"https://ror.org/00xyeez13","country_code":"CN","type":"education","lineage":["https://openalex.org/I10660446"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jian Wang","raw_affiliation_strings":["Kunming University of Science and Technology, China"],"affiliations":[{"raw_affiliation_string":"Kunming University of Science and Technology, China","institution_ids":["https://openalex.org/I10660446"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5010546326"],"corresponding_institution_ids":["https://openalex.org/I10660446"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.05140453,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"616","last_page":"619"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11605","display_name":"Visual Attention and Saliency Detection","score":0.9991000294685364,"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/T11605","display_name":"Visual Attention and Saliency Detection","score":0.9991000294685364,"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/T14254","display_name":"Digital Media and Visual Art","score":0.9718999862670898,"subfield":{"id":"https://openalex.org/subfields/1704","display_name":"Computer Graphics and Computer-Aided Design"},"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9596999883651733,"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":0.7365368604660034},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7060016393661499},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.6302549839019775},{"id":"https://openalex.org/keywords/frame","display_name":"Frame (networking)","score":0.6132734417915344},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5345510840415955},{"id":"https://openalex.org/keywords/interference","display_name":"Interference (communication)","score":0.4940224289894104},{"id":"https://openalex.org/keywords/window","display_name":"Window (computing)","score":0.4862145483493805},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.46332472562789917},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.43463027477264404},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4046388864517212},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.12144222855567932}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7365368604660034},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7060016393661499},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.6302549839019775},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.6132734417915344},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5345510840415955},{"id":"https://openalex.org/C32022120","wikidata":"https://www.wikidata.org/wiki/Q797225","display_name":"Interference (communication)","level":3,"score":0.4940224289894104},{"id":"https://openalex.org/C2778751112","wikidata":"https://www.wikidata.org/wiki/Q835016","display_name":"Window (computing)","level":2,"score":0.4862145483493805},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.46332472562789917},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.43463027477264404},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4046388864517212},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.12144222855567932},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","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},{"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/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3544109.3544323","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3544109.3544323","pdf_url":null,"source":{"id":"https://openalex.org/S4363608047","display_name":"2022 3rd Asia-Pacific Conference on Image Processing, Electronics and Computers","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 3rd Asia-Pacific Conference on Image Processing, Electronics and Computers","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":5,"referenced_works":["https://openalex.org/W2768207866","https://openalex.org/W2945418937","https://openalex.org/W2948399117","https://openalex.org/W2976928432","https://openalex.org/W3127189239"],"related_works":["https://openalex.org/W2109115373","https://openalex.org/W2390901981","https://openalex.org/W4230691760","https://openalex.org/W4391923333","https://openalex.org/W2084086966","https://openalex.org/W2393847170","https://openalex.org/W85049056","https://openalex.org/W158465905","https://openalex.org/W2061571973","https://openalex.org/W150851721"],"abstract_inverted_index":{"Aiming":[0],"at":[1],"the":[2,5,18,25,31,37,55,76,78,82,88,91,96,101,108,114,118,123,135,139],"problem":[3],"that":[4,117],"continuous":[6],"adaptive":[7],"mean":[8],"shift":[9],"algorithm":[10,15,84],"(Camshift)":[11],"deep":[12],"learning":[13],"tracking":[14,26,44,75],"based":[16],"on":[17],"colour":[19,33,137,141],"probability":[20],"distribution":[21],"can":[22,120],"easily":[23],"cause":[24],"target":[27,50,92,111,136],"to":[28,99,106],"fail":[29],"when":[30,74,134],"same":[32],"interference":[34],"appears":[35],"in":[36],"background,":[38],"we":[39],"propose":[40],"an":[41],"improved":[42],"Camshift":[43,53],"algorithm.":[45],"The":[46],"article":[47],"first":[48],"conducts":[49],"detection":[51,60],"before":[52],"tracks":[54],"target,":[56,77,124],"and":[57,69,125,138],"compares":[58],"three":[59],"algorithms":[61],"through":[62],"frame":[63,103],"difference":[64,71,97],"method,":[65,68],"optical":[66],"flow":[67],"background":[70,140],"method.":[72],"Then,":[73],"window":[79,105],"centre":[80,89],"of":[81,90,110],"CamShift":[83],"is":[85],"compared":[86],"with":[87],"area":[93],"calculated":[94],"by":[95],"method":[98,119],"determine":[100],"subsequent":[102],"search":[104],"avoid":[107],"loss":[109],"tracking;":[112],"finally,":[113],"experiment":[115],"proves":[116],"effectively":[121],"track":[122],"it":[126],"still":[127],"has":[128],"a":[129],"very":[130],"high":[131],"accuracy":[132],"rate":[133],"are":[142],"small.":[143]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}